Pub Date : 2026-01-01Epub Date: 2025-12-12DOI: 10.1016/j.etran.2025.100527
Chuanjie Wang , Jia Li , Xiaoke Li , Lei Zhang , Siao Zhang , Qinan Yin , Qinghao Zhang , Yongquan Wu , Kaifu Luo , Dengzhou Liu , Aidong Tan , Jianguo Liu
Proton exchange membrane fuel cells (PEMFCs) operating at elevated temperatures (>100 °C) hold promise for simplified water-thermal management compared to conventional 60–85 °C systems. However, the complex interplay of activation polarization, oxygen partial pressure and mass transfer at high temperatures remains unresolved, limiting their practical deployment. Herein, we decode a temperature-dependent trade-off. It governs PEMFCs performance across a wide temperature range (60–100 °C) through operando polarization decomposition, limit current method and a validated multiphysics coupling model, revealing that while rising temperatures reduce the intrinsic total mass transfer resistance (Rtotal) and activation overpotential, these benefits are negated by oxygen partial pressure drop due to accelerated water vaporization-induced gas dilution. To address this bottleneck, we propose an oxygen-enriched air control strategy that dynamically adjusts cathode gas composition, achieving 36 % increase in peak power and 90 mV improvement in voltage (@1.6 A/cm2) at 100 °C. Quantification via game-theoretic analysis shows 67 % performance gain from oxygen compensation and 33 % from activation polarization and Rtotal mitigation. Moreover, there is no sign of accelerated durability degradation compared to air under oxygen-enriched air conditions. This work decouples temperature-dependent polarization mechanisms and provides a transformative pathway for next-generation high-temperature PEMFCs systems.
{"title":"Temperature-dependent performance trade-offs in PEMFCs: A mechanistic study and oxygen-enriched compensation strategy","authors":"Chuanjie Wang , Jia Li , Xiaoke Li , Lei Zhang , Siao Zhang , Qinan Yin , Qinghao Zhang , Yongquan Wu , Kaifu Luo , Dengzhou Liu , Aidong Tan , Jianguo Liu","doi":"10.1016/j.etran.2025.100527","DOIUrl":"10.1016/j.etran.2025.100527","url":null,"abstract":"<div><div>Proton exchange membrane fuel cells (PEMFCs) operating at elevated temperatures (>100 °C) hold promise for simplified water-thermal management compared to conventional 60–85 °C systems. However, the complex interplay of activation polarization, oxygen partial pressure and mass transfer at high temperatures remains unresolved, limiting their practical deployment. Herein, we decode a temperature-dependent trade-off. It governs PEMFCs performance across a wide temperature range (60–100 °C) through operando polarization decomposition, limit current method and a validated multiphysics coupling model, revealing that while rising temperatures reduce the intrinsic total mass transfer resistance (R<sub>total</sub>) and activation overpotential, these benefits are negated by oxygen partial pressure drop due to accelerated water vaporization-induced gas dilution. To address this bottleneck, we propose an oxygen-enriched air control strategy that dynamically adjusts cathode gas composition, achieving 36 % increase in peak power and 90 mV improvement in voltage (@1.6 A/cm<sup>2</sup>) at 100 °C. Quantification via game-theoretic analysis shows 67 % performance gain from oxygen compensation and 33 % from activation polarization and R<sub>total</sub> mitigation. Moreover, there is no sign of accelerated durability degradation compared to air under oxygen-enriched air conditions. This work decouples temperature-dependent polarization mechanisms and provides a transformative pathway for next-generation high-temperature PEMFCs systems.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100527"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-01-10DOI: 10.1016/j.etran.2026.100545
Yajie Song , Chen Wang , Lei Wang , Xinli Wang , Lei Jia , Qinhe Wang
The real-time control of the ejector-driven anode multi-fluid gas recirculation system (AGRS) is a challenging task under both critical and subcritical operating modes of proton exchange membrane fuel cell (PEMFC) for vehicles. In this paper, a concise performance prediction model for multi-fluid ejectors with a non-iterative solution is established under overall operating modes. The characteristic points (critical recirculation ratio ω∗, critical back pressure pc∗, and reflux pressure pcb) are expressed as three linear equations with six lumped parameters (k1-k6), which can be easily identified by the least squares method. Then, the subcritical recirculation ratio (ωsub) is approximated as a quadratic function of pc by integrating pc∗, pcb, and ω∗. The feasibility and accuracy of the proposed model are validated using literature data, with additional H2 testing result and comparison to traditional models. The model's real-time applicability is also examined. The relative errors of the pc∗, pcb, and ω∗ are less than −2.89%, 1.11%, and 1.60%, indicating the high prediction accuracy of the characteristic points. Besides, the average relative errors of the ωsub and outlet temperature (Tc) are 9.43% and 0.64%, respectively. The comparison results show that the proposed model outperforms the traditional models in structural characteristics and prediction accuracy under overall modes. Additionally, a formula of k1-k6 consists of two geometric variables (Dnt and D3) is derived, which is convenient to use in practice. Finally, the established ejector model is also integrated into AGRS, and its dynamic response is analyzed. The proposed model is helpful for the real-time control of the ejector-driven AGRS in fuel cell vehicles, and can provide guidance for the design and optimization of hydrogen ejectors.
{"title":"A multi-fluid prediction model of anode gas recirculation ejector for real-time control of fuel cell vehicles under overall operating modes","authors":"Yajie Song , Chen Wang , Lei Wang , Xinli Wang , Lei Jia , Qinhe Wang","doi":"10.1016/j.etran.2026.100545","DOIUrl":"10.1016/j.etran.2026.100545","url":null,"abstract":"<div><div>The real-time control of the ejector-driven anode multi-fluid gas recirculation system (AGRS) is a challenging task under both critical and subcritical operating modes of proton exchange membrane fuel cell (PEMFC) for vehicles. In this paper, a concise performance prediction model for multi-fluid ejectors with a non-iterative solution is established under overall operating modes. The characteristic points (critical recirculation ratio <em>ω</em><sub>∗</sub>, critical back pressure <em>p</em><sub>c∗</sub>, and reflux pressure <em>p</em><sub>cb</sub>) are expressed as three linear equations with six lumped parameters (<em>k</em><sub>1</sub>-<em>k</em><sub>6</sub>), which can be easily identified by the least squares method. Then, the subcritical recirculation ratio (<em>ω</em><sub>sub</sub>) is approximated as a quadratic function of <em>p</em><sub>c</sub> by integrating <em>p</em><sub>c∗</sub>, <em>p</em><sub>cb</sub>, and <em>ω</em><sub>∗</sub>. The feasibility and accuracy of the proposed model are validated using literature data, with additional H<sub>2</sub> testing result and comparison to traditional models. The model's real-time applicability is also examined. The relative errors of the <em>p</em><sub>c∗</sub>, <em>p</em><sub>cb</sub>, and <em>ω</em><sub>∗</sub> are less than −2.89%, 1.11%, and 1.60%, indicating the high prediction accuracy of the characteristic points. Besides, the average relative errors of the <em>ω</em><sub>sub</sub> and outlet temperature (<em>T</em><sub>c</sub>) are 9.43% and 0.64%, respectively. The comparison results show that the proposed model outperforms the traditional models in structural characteristics and prediction accuracy under overall modes. Additionally, a formula of <em>k</em><sub>1</sub>-<em>k</em><sub>6</sub> consists of two geometric variables (<em>D</em><sub>nt</sub> and <em>D</em><sub>3</sub>) is derived, which is convenient to use in practice. Finally, the established ejector model is also integrated into AGRS, and its dynamic response is analyzed. The proposed model is helpful for the real-time control of the ejector-driven AGRS in fuel cell vehicles, and can provide guidance for the design and optimization of hydrogen ejectors.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100545"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-12-09DOI: 10.1016/j.etran.2025.100526
Qi Li , Zequn Wang , Hanyu Lai , Chunlin Li , Yuchen Pu , Yang Yang , Yongchang Tao , Weirong Chen
The growing scarcity of resources and the prevalence of environmental contamination has led to increased demand for energy trading and transportation. While integrated energy system (IES), as a crucial component in multi-energy coupling and energy conservation and emission reduction, are confronted with significant challenges. In particular, hydrogen energy systems face difficulties in temporal and spatial coupling, wherein pricing mechanisms remain decoupled from geographical delivery constraints and transportation logistics, and supply–demand optimization operates within fragmented frameworks lacking coordinated decision-making. In light of the aforementioned challenges, this paper proposes a trading method of IES considering hydrogen energy trading and transportation. First, this paper establishes an electricity-heat-hydrogen IES model and a transportation network based on the geographical information between IES and hydrogen refueling stations (HRSs). Then, considering that the hydrogen energy transaction between IES and HRSs is affected by hydrogen energy transportation time, distance and price, a two-stage optimization method based on non-cooperative game is proposed. In this game, both IES and HRSs engage in energy transactions with the objective of maximizing revenue. Finally, the effectiveness of the proposed method is verified by the case studies. The results show that the optimal scheduling method considering hydrogen transport can achieve an economic hydrogen trading and transport solution to complete the hydrogen supply to HRSs. The multi-energy transaction was profitable at $1140.07. Compared to conventional fixed-pricing models, the integrated approach achieves significant improvements in system performance, with an 18.57 % reduction in operating costs, a 3.2 % increase in energy utilization efficiency, and up to 22.3 % enhancement in hydrogen trading revenue.
{"title":"Optimal scheduling method for integrated energy system considering hydrogen trading and transportation","authors":"Qi Li , Zequn Wang , Hanyu Lai , Chunlin Li , Yuchen Pu , Yang Yang , Yongchang Tao , Weirong Chen","doi":"10.1016/j.etran.2025.100526","DOIUrl":"10.1016/j.etran.2025.100526","url":null,"abstract":"<div><div>The growing scarcity of resources and the prevalence of environmental contamination has led to increased demand for energy trading and transportation. While integrated energy system (IES), as a crucial component in multi-energy coupling and energy conservation and emission reduction, are confronted with significant challenges. In particular, hydrogen energy systems face difficulties in temporal and spatial coupling, wherein pricing mechanisms remain decoupled from geographical delivery constraints and transportation logistics, and supply–demand optimization operates within fragmented frameworks lacking coordinated decision-making. In light of the aforementioned challenges, this paper proposes a trading method of IES considering hydrogen energy trading and transportation. First, this paper establishes an electricity-heat-hydrogen IES model and a transportation network based on the geographical information between IES and hydrogen refueling stations (HRSs). Then, considering that the hydrogen energy transaction between IES and HRSs is affected by hydrogen energy transportation time, distance and price, a two-stage optimization method based on non-cooperative game is proposed. In this game, both IES and HRSs engage in energy transactions with the objective of maximizing revenue. Finally, the effectiveness of the proposed method is verified by the case studies. The results show that the optimal scheduling method considering hydrogen transport can achieve an economic hydrogen trading and transport solution to complete the hydrogen supply to HRSs. The multi-energy transaction was profitable at $1140.07. Compared to conventional fixed-pricing models, the integrated approach achieves significant improvements in system performance, with an 18.57 % reduction in operating costs, a 3.2 % increase in energy utilization efficiency, and up to 22.3 % enhancement in hydrogen trading revenue.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100526"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rapid electrification of transportation has accelerated electric vehicle (EV) adoption. Projections indicate that EVs will account for 50% of new car sales by 2035. However, uncoordinated EV charging poses substantial challenges to power system stability. It can increase peak demand (20–40%) and accelerate aging of distribution infrastructure. Vehicle-to-Everything (V2X) technologies, encompassing unidirectional smart charging and bidirectional Vehicle-to-Grid (V2G), offer potential solutions, with studies demonstrating up to 60% peak demand reduction and high renewable utilization. However, widespread adoption is hindered by system-level integration barriers.
This systematic review adopts an aggregator-centric framework, positioning the aggregator as key coordinator for technical optimization, economic viability, and user engagement. Unlike prior reviews focusing on isolated aspects such as algorithms, markets, or user behavior, this study synthesizes 140 articles (from 492 retrieved, 2019–2025) through dual-query searches in Scopus and IEEE Xplore, with bibliometric co-occurrence analysis. Seven research clusters were identified, spanning optimization methods, AI, grid services, renewable integration, user behavior, peak management, and market mechanisms.
The review identifies inter-dependencies among control architectures (centralized to decentralized), optimization strategies (mathematical programming to deep reinforcement learning), grid services (peak shaving to resilience), and user considerations (e.g., battery degradation). Key insights demonstrate the aggregator plays a multi-faceted role in balancing grid stability, market participation, and user adoption, with grid capacity limitations potentially reducing V2G effectiveness by 50–70%.
Finally, the review proposes a roadmap emphasizing adaptive control architectures, explainable AI, standardized communication protocols, user-centric interfaces, and sustainable business models to overcome barriers and enable scalable, interoperable V2X ecosystems.
{"title":"System-level integration of electric transportation in smart grids: An aggregator-centric review of control architectures, optimization algorithms, and business models","authors":"MohammadAmin Mahjoubnia , Taher Niknam , Ali Taghavi , Hamed Heydari-Doostabad","doi":"10.1016/j.etran.2025.100542","DOIUrl":"10.1016/j.etran.2025.100542","url":null,"abstract":"<div><div>The rapid electrification of transportation has accelerated electric vehicle (EV) adoption. Projections indicate that EVs will account for 50% of new car sales by 2035. However, uncoordinated EV charging poses substantial challenges to power system stability. It can increase peak demand (20–40%) and accelerate aging of distribution infrastructure. Vehicle-to-Everything (V2X) technologies, encompassing unidirectional smart charging and bidirectional Vehicle-to-Grid (V2G), offer potential solutions, with studies demonstrating up to 60% peak demand reduction and high renewable utilization. However, widespread adoption is hindered by system-level integration barriers.</div><div>This systematic review adopts an aggregator-centric framework, positioning the aggregator as key coordinator for technical optimization, economic viability, and user engagement. Unlike prior reviews focusing on isolated aspects such as algorithms, markets, or user behavior, this study synthesizes 140 articles (from 492 retrieved, 2019–2025) through dual-query searches in Scopus and IEEE Xplore, with bibliometric co-occurrence analysis. Seven research clusters were identified, spanning optimization methods, AI, grid services, renewable integration, user behavior, peak management, and market mechanisms.</div><div>The review identifies inter-dependencies among control architectures (centralized to decentralized), optimization strategies (mathematical programming to deep reinforcement learning), grid services (peak shaving to resilience), and user considerations (e.g., battery degradation). Key insights demonstrate the aggregator plays a multi-faceted role in balancing grid stability, market participation, and user adoption, with grid capacity limitations potentially reducing V2G effectiveness by 50–70%.</div><div>Finally, the review proposes a roadmap emphasizing adaptive control architectures, explainable AI, standardized communication protocols, user-centric interfaces, and sustainable business models to overcome barriers and enable scalable, interoperable V2X ecosystems.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100542"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-01-06DOI: 10.1016/j.etran.2026.100543
Yangyang Ma , Sida Li , Xueyuan Wang , Shulin Zhou , Zhiyuan Chen , Hao Yuan , Penglong Bao , Yabo Wang , Guofeng Chang , Haifeng Dai , Xuezhe Wei
Timely and efficient hydrogen crossover diagnosis is crucial for improving the performance, durability, and safety of proton exchange membrane fuel cell (PEMFC). However, most existing diagnostic methods are complicated to operate, time-consuming, costly, and necessitate complex data processing. There are almost no studies that can achieve hydrogen crossover diagnosis in seconds without requiring additional equipment other than conventional fuel cell testing bench. To address this gap, a novel quantitative diagnostic method of hydrogen crossover based on the hydrogen concentration cell is proposed. Specifically, the essence of the open circuit voltage (OCV) arising from the hydrogen concentration cell formed by hydrogen crossover phenomenon is thoroughly investigated via Nernst equation, to propose this novel quantitative diagnostic method. This novel quantitative diagnostic method requires only three parameters: OCV, cathode flow rates, and fuel cell temperature, to rapidly achieve quantitative diagnosis of hydrogen crossover current. After conducting 228 trials, the proposed novel quantitative diagnostic method demonstrated a maximum relative error and a mean absolute percentage error (MAPE) of 4.89 % and 2.54 %, when compared to the validated and reliable potential step method (PSM), fully verifying its repeatability and accuracy. This novel method can achieve quantitative diagnosis of hydrogen crossover in seconds on any conventional fuel cell testing bench, with high cost-effective and simple data processing. It will provide a powerful tool for quality control, optimization design, periodic diagnosis, and aging assessment of fuel cell.
{"title":"Quantitative diagnosis of hydrogen crossover in fuel cell: based on the hydrogen concentration cell","authors":"Yangyang Ma , Sida Li , Xueyuan Wang , Shulin Zhou , Zhiyuan Chen , Hao Yuan , Penglong Bao , Yabo Wang , Guofeng Chang , Haifeng Dai , Xuezhe Wei","doi":"10.1016/j.etran.2026.100543","DOIUrl":"10.1016/j.etran.2026.100543","url":null,"abstract":"<div><div>Timely and efficient hydrogen crossover diagnosis is crucial for improving the performance, durability, and safety of proton exchange membrane fuel cell (PEMFC). However, most existing diagnostic methods are complicated to operate, time-consuming, costly, and necessitate complex data processing. There are almost no studies that can achieve hydrogen crossover diagnosis in seconds without requiring additional equipment other than conventional fuel cell testing bench. To address this gap, a novel quantitative diagnostic method of hydrogen crossover based on the hydrogen concentration cell is proposed. Specifically, the essence of the open circuit voltage (OCV) arising from the hydrogen concentration cell formed by hydrogen crossover phenomenon is thoroughly investigated via Nernst equation, to propose this novel quantitative diagnostic method. This novel quantitative diagnostic method requires only three parameters: OCV, cathode flow rates, and fuel cell temperature, to rapidly achieve quantitative diagnosis of hydrogen crossover current. After conducting 228 trials, the proposed novel quantitative diagnostic method demonstrated a maximum relative error and a mean absolute percentage error (MAPE) of 4.89 % and 2.54 %, when compared to the validated and reliable potential step method (PSM), fully verifying its repeatability and accuracy. This novel method can achieve quantitative diagnosis of hydrogen crossover in seconds on any conventional fuel cell testing bench, with high cost-effective and simple data processing. It will provide a powerful tool for quality control, optimization design, periodic diagnosis, and aging assessment of fuel cell.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100543"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-12-28DOI: 10.1016/j.etran.2025.100535
Xulai Yang , Mengqin Tao , Fei Zhou , Qian Huang
Lithium metal anodes (LMAs) have garnered substantial attention owing to their extraordinarily high theoretical specific capacity and extremely low redox potential. The development of practical lithium metal batteries (LMBs) necessitates LMAs with controllable thickness and free-standing characteristics to maximize energy density and electrochemical performance. This review systematically summarized advanced fabrication technologies for free-standing thin LMAs, including mechanical rolling, physical vapor deposition, chemical thinning, and electrodeposition, while analyzing their respective strengths, limitations, and scalability. It highlighted that constructing lithium-based composite anodes, by integrating Li metal with conductive, dielectric, or conductive-dielectric gradient scaffolds, represented an effective strategy to overcome the intrinsic drawbacks of pure LMAs. Specifically, conductive scaffolds (metal-, carbon-, or metal-carbon-based) regulate electron/ion transport and reduce local current density; dielectric scaffolds with polar functional groups homogenize Li+ flux; and gradient scaffolds enable “bottom-up” Li deposition. These mechanisms synergistically suppress dendrite growth and mitigate volume changes to some extent. Under practical conditions, the review evaluated the performance of composite anodes in terms of cycling stability, Li utilization efficiency, and compatibility with high-loading cathodes. Finally, it outlined future directions for scaling up thin LMAs, emphasizing the need for simulation calculation, intelligent manufacturing and intelligent battery technology to bridge the gap between laboratory research and industrial applications.
{"title":"Fabrication technologies of free-standing thin lithium metal anode for high energy density lithium batteries","authors":"Xulai Yang , Mengqin Tao , Fei Zhou , Qian Huang","doi":"10.1016/j.etran.2025.100535","DOIUrl":"10.1016/j.etran.2025.100535","url":null,"abstract":"<div><div>Lithium metal anodes (LMAs) have garnered substantial attention owing to their extraordinarily high theoretical specific capacity and extremely low redox potential. The development of practical lithium metal batteries (LMBs) necessitates LMAs with controllable thickness and free-standing characteristics to maximize energy density and electrochemical performance. This review systematically summarized advanced fabrication technologies for free-standing thin LMAs, including mechanical rolling, physical vapor deposition, chemical thinning, and electrodeposition, while analyzing their respective strengths, limitations, and scalability. It highlighted that constructing lithium-based composite anodes, by integrating Li metal with conductive, dielectric, or conductive-dielectric gradient scaffolds, represented an effective strategy to overcome the intrinsic drawbacks of pure LMAs. Specifically, conductive scaffolds (metal-, carbon-, or metal-carbon-based) regulate electron/ion transport and reduce local current density; dielectric scaffolds with polar functional groups homogenize Li<sup>+</sup> flux; and gradient scaffolds enable “bottom-up” Li deposition. These mechanisms synergistically suppress dendrite growth and mitigate volume changes to some extent. Under practical conditions, the review evaluated the performance of composite anodes in terms of cycling stability, Li utilization efficiency, and compatibility with high-loading cathodes. Finally, it outlined future directions for scaling up thin LMAs, emphasizing the need for simulation calculation, intelligent manufacturing and intelligent battery technology to bridge the gap between laboratory research and industrial applications.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100535"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-12-29DOI: 10.1016/j.etran.2025.100536
Shicai Yin , Xiang Li , Jinqiu Gao , Yaofei Han
The interior permanent magnet synchronous motor (IPMSM) is the core of the traction drive system (TDS) in electric rail transit. Its aging faults can lead to reduced train power, wheelset-rail oscillations, and even trigger secondary failures that affect passenger safety. Existing diagnostic strategies often require additional observers, complex signal injection, or large volumes of fault data, which either reduce the reliability during train operation or make deployment challenging within the safety-oriented framework of train operations. This paper proposes a multi-fault diagnosis strategy (MFDS) based on sliding mode enhanced carrier decision (SMECD). The SMECD integrates existing onboard control signals of electric rail transit as fault carriers, eliminating the need for additional hardware and ensuring reliable onboard deployment capabilities. In addition, an aging fault injection model (AFIM) is proposed, which integrates diverse aging faults. The AFIM can replicate the aging faults of the IPMSM caused by frequent switching of different operating conditions in the TDS, ensuring the application validation of the MFDS. The experimental results show that the MFDS can accurately locate different aging faults, thereby providing predictive maintenance guidance for rail transit operations. Compared to traditional diagnostic strategies, the MFDS does not require additional observers or sensors to monitor the aging parameters of the IPMSM in the TDS, offering a lightweight and easily deployable diagnostic strategy for the entire lifecycle of train operations, thus enhancing the safety and reliability of electric rail transit.
{"title":"Multi-fault diagnosis strategy based on sliding mode enhanced carrier decision of the aging IPMSM for the electric rail transit","authors":"Shicai Yin , Xiang Li , Jinqiu Gao , Yaofei Han","doi":"10.1016/j.etran.2025.100536","DOIUrl":"10.1016/j.etran.2025.100536","url":null,"abstract":"<div><div>The interior permanent magnet synchronous motor (IPMSM) is the core of the traction drive system (TDS) in electric rail transit. Its aging faults can lead to reduced train power, wheelset-rail oscillations, and even trigger secondary failures that affect passenger safety. Existing diagnostic strategies often require additional observers, complex signal injection, or large volumes of fault data, which either reduce the reliability during train operation or make deployment challenging within the safety-oriented framework of train operations. This paper proposes a multi-fault diagnosis strategy (MFDS) based on sliding mode enhanced carrier decision (SMECD). The SMECD integrates existing onboard control signals of electric rail transit as fault carriers, eliminating the need for additional hardware and ensuring reliable onboard deployment capabilities. In addition, an aging fault injection model (AFIM) is proposed, which integrates diverse aging faults. The AFIM can replicate the aging faults of the IPMSM caused by frequent switching of different operating conditions in the TDS, ensuring the application validation of the MFDS. The experimental results show that the MFDS can accurately locate different aging faults, thereby providing predictive maintenance guidance for rail transit operations. Compared to traditional diagnostic strategies, the MFDS does not require additional observers or sensors to monitor the aging parameters of the IPMSM in the TDS, offering a lightweight and easily deployable diagnostic strategy for the entire lifecycle of train operations, thus enhancing the safety and reliability of electric rail transit.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100536"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-12-02DOI: 10.1016/j.etran.2025.100523
Rui Tang , Jinyang Dong , Yuefeng Su , Xuebing Han , Fangze Zhao , Yun Lu , Kang Yan , Yi Jin , Ning Li , Lai Chen , Feng Wu
Ensuring the long-term durability of LiFePO4/Graphite (LFP/Gr) pouch cells is essential for their deployment in electric vehicles and stationary energy storage systems. To clarify how multiple external stressors jointly influence failure behavior, this study investigates degradation under coupled high-temperature and over-discharge conditions (45 °C, 1.0 V) in comparison with baseline cycling (25 °C, 2.5 V). A multiscale framework integrating electrochemical diagnostics, structural and interfacial characterization, multimodal imaging, and finite-element modeling was employed to correlate macroscopic performance decay with microscopic failure mechanisms. The coupled condition results in a markedly faster loss of capacity and a nonlinear aging trajectory, in contrast to the nearly linear trend observed under baseline operation. The two stressors show distinct temporal contributions: temperature-driven interfacial breakdown and Fe dissolution appear early and evolve gradually, whereas over-discharge–induced Cu dissolution, graphite disordering, and lithium plating intensify sharply during later stages, establishing a clear sequence of degradation events. Dynamic resistance evolution further confirms staged failure involving SEI reconstruction, lithium inventory depletion, and metal dissolution–related impedance rise. Multimodal imaging reveals pronounced spatial inhomogeneity, including edge-focused lithium accumulation and non-uniform heat and current distribution, highlighting localized regions that are more vulnerable to degradation and safety concerns. Overall, the results provide mechanistic insight into how elevated temperature and over-discharge jointly shape the timing, severity, and spatial distribution of degradation in LFP/Gr pouch cells, and the integrated multiscale analysis framework established here offers a promising basis for extending such coupled-stressor investigations to other chemistries and battery architectures.
{"title":"Inhomogeneous degradation mechanisms in LiFePO4/Graphite pouch cells under temperature and over-discharge coupled accelerated aging","authors":"Rui Tang , Jinyang Dong , Yuefeng Su , Xuebing Han , Fangze Zhao , Yun Lu , Kang Yan , Yi Jin , Ning Li , Lai Chen , Feng Wu","doi":"10.1016/j.etran.2025.100523","DOIUrl":"10.1016/j.etran.2025.100523","url":null,"abstract":"<div><div>Ensuring the long-term durability of LiFePO<sub>4</sub>/Graphite (LFP/Gr) pouch cells is essential for their deployment in electric vehicles and stationary energy storage systems. To clarify how multiple external stressors jointly influence failure behavior, this study investigates degradation under coupled high-temperature and over-discharge conditions (45 °C, 1.0 V) in comparison with baseline cycling (25 °C, 2.5 V). A multiscale framework integrating electrochemical diagnostics, structural and interfacial characterization, multimodal imaging, and finite-element modeling was employed to correlate macroscopic performance decay with microscopic failure mechanisms. The coupled condition results in a markedly faster loss of capacity and a nonlinear aging trajectory, in contrast to the nearly linear trend observed under baseline operation. The two stressors show distinct temporal contributions: temperature-driven interfacial breakdown and Fe dissolution appear early and evolve gradually, whereas over-discharge–induced Cu dissolution, graphite disordering, and lithium plating intensify sharply during later stages, establishing a clear sequence of degradation events. Dynamic resistance evolution further confirms staged failure involving SEI reconstruction, lithium inventory depletion, and metal dissolution–related impedance rise. Multimodal imaging reveals pronounced spatial inhomogeneity, including edge-focused lithium accumulation and non-uniform heat and current distribution, highlighting localized regions that are more vulnerable to degradation and safety concerns. Overall, the results provide mechanistic insight into how elevated temperature and over-discharge jointly shape the timing, severity, and spatial distribution of degradation in LFP/Gr pouch cells, and the integrated multiscale analysis framework established here offers a promising basis for extending such coupled-stressor investigations to other chemistries and battery architectures.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100523"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145681620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-11-24DOI: 10.1016/j.etran.2025.100515
Zhi Cao, Naser Vosoughi Kurdkandi, Shengyu Jia, Chris Mi
The rapid growth of electric vehicles creates significant opportunities for stationary energy storage through second-life battery utilization. This paper proposes a multi-timescale electricity cost optimization framework for second-life battery energy storage systems (SLBESS) in commercial buildings and validates it on a real deployed system. To address the complex challenge of commercial tariffs that include both energy and demand charges, our approach decomposes the problem by timescale. An upper layer uses hourly model predictive control (MPC) with a rolling horizon for long-term energy arbitrage, while a lower layer employs real-time control to mitigate short-term power peaks. Critically, the framework integrates empirically validated, health-preserving constraints for second-life batteries, including a restricted 15%–85% state-of-charge window and a 0.25 C-rate current limit, directly linking battery longevity to economic optimization. Comprehensive validation using 12 months of real-world operational data from a deployed SLBESS demonstrates a 28.6% electricity cost reduction compared to no-storage operation, outperforming baseline rule-based and Lyapunov optimization methods by 6% and 16.1%, respectively. The framework ensures sub-500 ms computation times, achieves a modest annual battery degradation rate of 1.20%, and delivers a 5.0-year payback period, highlighting its practical viability and performance in real-world commercial applications.
{"title":"Multi-timescale electricity cost optimization for commercial buildings using EV second-life battery as energy storage systems","authors":"Zhi Cao, Naser Vosoughi Kurdkandi, Shengyu Jia, Chris Mi","doi":"10.1016/j.etran.2025.100515","DOIUrl":"10.1016/j.etran.2025.100515","url":null,"abstract":"<div><div>The rapid growth of electric vehicles creates significant opportunities for stationary energy storage through second-life battery utilization. This paper proposes a multi-timescale electricity cost optimization framework for second-life battery energy storage systems (SLBESS) in commercial buildings and validates it on a real deployed system. To address the complex challenge of commercial tariffs that include both energy and demand charges, our approach decomposes the problem by timescale. An upper layer uses hourly model predictive control (MPC) with a rolling horizon for long-term energy arbitrage, while a lower layer employs real-time control to mitigate short-term power peaks. Critically, the framework integrates empirically validated, health-preserving constraints for second-life batteries, including a restricted 15%–85% state-of-charge window and a 0.25 C-rate current limit, directly linking battery longevity to economic optimization. Comprehensive validation using 12 months of real-world operational data from a deployed SLBESS demonstrates a 28.6% electricity cost reduction compared to no-storage operation, outperforming baseline rule-based and Lyapunov optimization methods by 6% and 16.1%, respectively. The framework ensures sub-500 ms computation times, achieves a modest annual battery degradation rate of 1.20%, and delivers a 5.0-year payback period, highlighting its practical viability and performance in real-world commercial applications.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100515"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145616281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-12-04DOI: 10.1016/j.etran.2025.100522
Lan-Hao Lou , Xi-Tai Liang , Jiuchun Jiang , Tianjun Lu , Changhong Yu , Chao Chen , Jintao Shi , Feng Ning , Xue Li , Xiao-Guang Yang
Accurate state-of-charge (SOC) estimation for lithium iron phosphate (LFP) batteries remains challenging due to their characteristically flat open-circuit voltage (OCV) profile and pronounced hysteresis effects. Though recent advances have explored mechanical signals to improve estimation accuracy, the inherent non-monotonic force–SOC relationship and thermal expansion effects introduce additional complexities that hinder practical deployment. To address these challenges, we propose a SOC estimation framework that fuses an equivalent circuit model with an equivalent force model, explicitly accounting for both intercalation-induced and thermally induced stress. The proposed dual-model structure is integrated via a dual extended Kalman filter with adaptive weighting. This approach outperforms conventional methods under diverse operating conditions and demonstrates robustness against common error sources. Hardware-in-the-loop validation further confirms the real-time applicability of the proposed framework. This work offers a practical and accurate solution for SOC estimation in LFP batteries used in electric vehicles and energy storage systems.
{"title":"A fused electrical-mechanical model with extended Kalman filter and adaptive weighting for state-of-charge estimation of lithium iron-phosphate batteries","authors":"Lan-Hao Lou , Xi-Tai Liang , Jiuchun Jiang , Tianjun Lu , Changhong Yu , Chao Chen , Jintao Shi , Feng Ning , Xue Li , Xiao-Guang Yang","doi":"10.1016/j.etran.2025.100522","DOIUrl":"10.1016/j.etran.2025.100522","url":null,"abstract":"<div><div>Accurate state-of-charge (SOC) estimation for lithium iron phosphate (LFP) batteries remains challenging due to their characteristically flat open-circuit voltage (OCV) profile and pronounced hysteresis effects. Though recent advances have explored mechanical signals to improve estimation accuracy, the inherent non-monotonic force–SOC relationship and thermal expansion effects introduce additional complexities that hinder practical deployment. To address these challenges, we propose a SOC estimation framework that fuses an equivalent circuit model with an equivalent force model, explicitly accounting for both intercalation-induced and thermally induced stress. The proposed dual-model structure is integrated via a dual extended Kalman filter with adaptive weighting. This approach outperforms conventional methods under diverse operating conditions and demonstrates robustness against common error sources. Hardware-in-the-loop validation further confirms the real-time applicability of the proposed framework. This work offers a practical and accurate solution for SOC estimation in LFP batteries used in electric vehicles and energy storage systems.</div></div>","PeriodicalId":36355,"journal":{"name":"Etransportation","volume":"27 ","pages":"Article 100522"},"PeriodicalIF":17.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}