Yi Xing, Xiaoyu Sun, Wentian Chen, Xiaoqing Ma, Zirui Huang, Minglian Li, Wenfeng Guo, Yuqian Fan
The construction of advanced Fe2O3 materials with high energy density for energy storage faces challenges due to the defects of conventional widely-known red-brown Fe2O3 such as poor electronic conductivity and insufficient physical/chemical stability. Unlike previous work, we successfully synthesize a novel black Fe2O3 (B-Fe2O3) thin film electrode by adopting simple hydrothermal strategy. Physical characterizations indicate that the as-made B-Fe2O3 product is composed of polyhedrons (mainly exhibit 4-8 sides) with a micrometer grade size range. Besides, the Fe-based thin film electrode with this 3D structure has stronger affinity and high electronic conductivity. As anode of aqueous solid-state energy storage devices, the as-synthesized B-Fe2O3 film electrode exhibits excellent volume energy density of 14.349 kWh m−3 at power density of 1609 kW m−3, which is much higher than the best result of previous works (∼8 kWh m−3). This study may provide new insights into the development of the Fe2O3 series on developing high-efficiency Fe-based anode materials for solid-state energy storage.
{"title":"Black-Fe2O3 Polyhedron-Assembled 3D Film Electrode with Enhanced Conductivity and Energy Density for Aqueous Solid-State Energy Storage","authors":"Yi Xing, Xiaoyu Sun, Wentian Chen, Xiaoqing Ma, Zirui Huang, Minglian Li, Wenfeng Guo, Yuqian Fan","doi":"10.1115/1.4064380","DOIUrl":"https://doi.org/10.1115/1.4064380","url":null,"abstract":"The construction of advanced Fe2O3 materials with high energy density for energy storage faces challenges due to the defects of conventional widely-known red-brown Fe2O3 such as poor electronic conductivity and insufficient physical/chemical stability. Unlike previous work, we successfully synthesize a novel black Fe2O3 (B-Fe2O3) thin film electrode by adopting simple hydrothermal strategy. Physical characterizations indicate that the as-made B-Fe2O3 product is composed of polyhedrons (mainly exhibit 4-8 sides) with a micrometer grade size range. Besides, the Fe-based thin film electrode with this 3D structure has stronger affinity and high electronic conductivity. As anode of aqueous solid-state energy storage devices, the as-synthesized B-Fe2O3 film electrode exhibits excellent volume energy density of 14.349 kWh m−3 at power density of 1609 kW m−3, which is much higher than the best result of previous works (∼8 kWh m−3). This study may provide new insights into the development of the Fe2O3 series on developing high-efficiency Fe-based anode materials for solid-state energy storage.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" 21","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139144153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The pursuit of sustainable and clean energy solutions has led to increased interest in hydrogen as an efficient energy carrier. This paper presents a comprehensive analysis of state-of-the-art technologies for hydrogen production through seawater electrolysis and desalination, addressing the critical need for clean energy generation and sustainable water supply. It emphasizes the importance of hydrogen as a versatile and environmentally friendly energy source, as well as the significance of seawater desalination. The analysis includes a comparison of three electrolysis technologies: solid oxide electrolysis (SOE), alkaline electrolyzers (AE), and proton exchange membrane (PEM) electrolysis. Factors such as energy requirements, capital and maintenance costs, and offshore suitability are considered, facilitating an informed evaluation of the most suitable electrolysis method for seawater hydrogen production. Additionally, three desalination technologies are evaluated: reverse osmosis (RO), thermal desalination, and membrane desalination. The assessment takes into account investment and operation costs, energy demand, and environmental impact, providing insights into the feasibility and sustainability of integrating hydrogen production with seawater desalination. This condensed review provides a holistic perspective on the techno-economic viability, energy efficiency, and environmental sustainability of various technologies, enabling informed decision-making towards a more sustainable and resilient energy-water nexus. Overall, this study contributes to the growing body of knowledge on hydrogen production and seawater desalination, offering insights that can inform strategic planning, policy development, and technological advancements in achieving a greener and more sustainable future.
{"title":"Critical Review of Hydrogen Production via Seawater Electrolysis and Desalination: Evaluating Current Practices","authors":"Giorgos Varras, Michail Chalaris","doi":"10.1115/1.4064381","DOIUrl":"https://doi.org/10.1115/1.4064381","url":null,"abstract":"The pursuit of sustainable and clean energy solutions has led to increased interest in hydrogen as an efficient energy carrier. This paper presents a comprehensive analysis of state-of-the-art technologies for hydrogen production through seawater electrolysis and desalination, addressing the critical need for clean energy generation and sustainable water supply. It emphasizes the importance of hydrogen as a versatile and environmentally friendly energy source, as well as the significance of seawater desalination. The analysis includes a comparison of three electrolysis technologies: solid oxide electrolysis (SOE), alkaline electrolyzers (AE), and proton exchange membrane (PEM) electrolysis. Factors such as energy requirements, capital and maintenance costs, and offshore suitability are considered, facilitating an informed evaluation of the most suitable electrolysis method for seawater hydrogen production. Additionally, three desalination technologies are evaluated: reverse osmosis (RO), thermal desalination, and membrane desalination. The assessment takes into account investment and operation costs, energy demand, and environmental impact, providing insights into the feasibility and sustainability of integrating hydrogen production with seawater desalination. This condensed review provides a holistic perspective on the techno-economic viability, energy efficiency, and environmental sustainability of various technologies, enabling informed decision-making towards a more sustainable and resilient energy-water nexus. Overall, this study contributes to the growing body of knowledge on hydrogen production and seawater desalination, offering insights that can inform strategic planning, policy development, and technological advancements in achieving a greener and more sustainable future.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"60 4","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139146534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Accurate estimation of the internal temperature of lithium-ion batteries plays an important role in the development of a suitable battery thermal management system, safeguarding the healthy and safe operation of batteries, and improving battery performance. In order to accurately estimate the internal temperature of the battery, this paper proposes a method for estimating the internal temperature of lithium-ion batteries based on an improved electro-thermal coupling model and an Adaptive Network-based Fuzzy Inference System (ANFIS). First, a parameterization method of the electrical model is proposed, and an electrical model whose parameters are affected by temperature and SOC is established. Second, to overcome the complex nonlinear modeling problem of lithium-ion batteries, the ANFIS thermal model is established. Then, an improved electro-thermal coupling model for lithium-ion batteries is established by combining the proposed electrical model and the ANFIS thermal model to improve the accuracy of estimating the internal temperature of the battery. Finally, the effectiveness of the proposed method is verified by simulation and experiment.
{"title":"Internal temperature estimation of lithium-ion battery based on improved electro-thermal coupling model and ANFIS","authors":"Jianping Wen, Zhensheng Li, Haodong Zhang, Chuanwei Zhang","doi":"10.1115/1.4064353","DOIUrl":"https://doi.org/10.1115/1.4064353","url":null,"abstract":"Accurate estimation of the internal temperature of lithium-ion batteries plays an important role in the development of a suitable battery thermal management system, safeguarding the healthy and safe operation of batteries, and improving battery performance. In order to accurately estimate the internal temperature of the battery, this paper proposes a method for estimating the internal temperature of lithium-ion batteries based on an improved electro-thermal coupling model and an Adaptive Network-based Fuzzy Inference System (ANFIS). First, a parameterization method of the electrical model is proposed, and an electrical model whose parameters are affected by temperature and SOC is established. Second, to overcome the complex nonlinear modeling problem of lithium-ion batteries, the ANFIS thermal model is established. Then, an improved electro-thermal coupling model for lithium-ion batteries is established by combining the proposed electrical model and the ANFIS thermal model to improve the accuracy of estimating the internal temperature of the battery. Finally, the effectiveness of the proposed method is verified by simulation and experiment.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"8 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139150237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A separator plays a crucial role in a Li-ion battery to carry liquid electrolytes while preventing short-circuiting between electrodes. Nevertheless, conventional commercial separators often exhibit poor wettability and are prone to shrink at elevated temperatures due to their limited thermal stability. Herein, we report a heat-resistant LATP-PVDF-Al2O3 composite film with outstanding wetting performance. The thin film was prepared using ball-mill mixing and tape-casting processes. Two solvents NMP and glycerol were applied to prepare the slurry and a favorable microstructure in the film was created after drying. The ionic conductivity of the film was tested at 1.39 mS cm−1 when paired with liquid electrolyte, almost double that of the commercial counterpart. The high ceramic loading of 70% improved both the thermal shrinkage resistance and dendrite inhibition of the membrane. When assembled in an NMC half-cell, the cycling capacity retentions of 92.8% and 92.1% are achieved after 50 cycles at 0.5 C and 1 C, demonstrating its capability to be used in Li-ion batteries.
{"title":"A High Ceramic Loading LATP-PVDF-Al2O3 Composite Film for Lithium-ion Batteries with Favorable Porous Microstructure and Enhanced Thermal Stability","authors":"Yu Gu, Chris Yuan","doi":"10.1115/1.4064352","DOIUrl":"https://doi.org/10.1115/1.4064352","url":null,"abstract":"\u0000 A separator plays a crucial role in a Li-ion battery to carry liquid electrolytes while preventing short-circuiting between electrodes. Nevertheless, conventional commercial separators often exhibit poor wettability and are prone to shrink at elevated temperatures due to their limited thermal stability. Herein, we report a heat-resistant LATP-PVDF-Al2O3 composite film with outstanding wetting performance. The thin film was prepared using ball-mill mixing and tape-casting processes. Two solvents NMP and glycerol were applied to prepare the slurry and a favorable microstructure in the film was created after drying. The ionic conductivity of the film was tested at 1.39 mS cm−1 when paired with liquid electrolyte, almost double that of the commercial counterpart. The high ceramic loading of 70% improved both the thermal shrinkage resistance and dendrite inhibition of the membrane. When assembled in an NMC half-cell, the cycling capacity retentions of 92.8% and 92.1% are achieved after 50 cycles at 0.5 C and 1 C, demonstrating its capability to be used in Li-ion batteries.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"135 44","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138953371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Chang, Guangwei Su, Haimei Cen, Jiuchun Jiang, Aina Tian, Yang Gao, Tiezhou Wu
With the development of electric vehicles, the demand for lithium-ion batteries has been increasing annually. Accurately estimating the State of Health (SOH) of lithium-ion batteries is crucial for their efficient and reliable use. Most of the existing research on SOH estimation is based on parameters such as current, voltage, and temperature, which are prone to fluctuations. Estimating the SOH of lithium-ion batteries based on Electrochemical Impedance Spectroscopy (EIS) and data-driven approaches has been proven effective. In this paper, we explore a novel SOH estimation model for lithium batteries based on EIS and Convolutional Neural Network (CNN)-Vision Transformer (VIT). The EIS data is treated as a grayscale image, eliminating the need for manual feature extraction and simultaneously capturing both local and global features in the data. To validate the effectiveness of the proposed model, a series of simulation experiments are conducted, comparing it with various traditional machine learning models in terms of Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Coefficient of Determination (R2). The simulation results demonstrate that the proposed model performs best overall in the testing dataset at three different temperatures. This confirms that the model can accurately and stably estimate the SOH of lithium-ion batteries without requiring manual feature extraction and knowledge of battery aging temperature.
{"title":"Research on State of Health Estimation of Lithium Batteries Based on EIS and CNN-VIT Models","authors":"C. Chang, Guangwei Su, Haimei Cen, Jiuchun Jiang, Aina Tian, Yang Gao, Tiezhou Wu","doi":"10.1115/1.4064350","DOIUrl":"https://doi.org/10.1115/1.4064350","url":null,"abstract":"\u0000 With the development of electric vehicles, the demand for lithium-ion batteries has been increasing annually. Accurately estimating the State of Health (SOH) of lithium-ion batteries is crucial for their efficient and reliable use. Most of the existing research on SOH estimation is based on parameters such as current, voltage, and temperature, which are prone to fluctuations. Estimating the SOH of lithium-ion batteries based on Electrochemical Impedance Spectroscopy (EIS) and data-driven approaches has been proven effective. In this paper, we explore a novel SOH estimation model for lithium batteries based on EIS and Convolutional Neural Network (CNN)-Vision Transformer (VIT). The EIS data is treated as a grayscale image, eliminating the need for manual feature extraction and simultaneously capturing both local and global features in the data. To validate the effectiveness of the proposed model, a series of simulation experiments are conducted, comparing it with various traditional machine learning models in terms of Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Coefficient of Determination (R2). The simulation results demonstrate that the proposed model performs best overall in the testing dataset at three different temperatures. This confirms that the model can accurately and stably estimate the SOH of lithium-ion batteries without requiring manual feature extraction and knowledge of battery aging temperature.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"130 51","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138953586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chao Wang, Xiaohu Liu, Li Han, Tiezhou Wu, Xiangyu Wang
In order to improve the inconsistency of lithium-ion battery packs, an adaptive grouping supercapacitor voltage-doubling equalization circuit is proposed on the basis of capacitor equalization circuits, which combines switching arrays with clustering algorithms for grouping, and multiple batteries can be equalized at the same moment according to the energy state. The supercapacitor energy storage module can realize parallel energy storage and series energy release, which greatly improves the equalization speed and solves the problem of slowing down the equalization speed at the later stage of equalization. Build six series-connected battery simulation platform for experiments, the experimental data results show that the scheme proposed in this paper compared with the control group program equalization time is shortened by about 50%, has a faster equalization speed, and can effectively improve the inconsistency of the battery pack, effectively verifying the feasibility of the equalization program and superiority.
{"title":"Supercapacitor voltage doubling equalization method based on adaptive grouping","authors":"Chao Wang, Xiaohu Liu, Li Han, Tiezhou Wu, Xiangyu Wang","doi":"10.1115/1.4064351","DOIUrl":"https://doi.org/10.1115/1.4064351","url":null,"abstract":"\u0000 In order to improve the inconsistency of lithium-ion battery packs, an adaptive grouping supercapacitor voltage-doubling equalization circuit is proposed on the basis of capacitor equalization circuits, which combines switching arrays with clustering algorithms for grouping, and multiple batteries can be equalized at the same moment according to the energy state. The supercapacitor energy storage module can realize parallel energy storage and series energy release, which greatly improves the equalization speed and solves the problem of slowing down the equalization speed at the later stage of equalization. Build six series-connected battery simulation platform for experiments, the experimental data results show that the scheme proposed in this paper compared with the control group program equalization time is shortened by about 50%, has a faster equalization speed, and can effectively improve the inconsistency of the battery pack, effectively verifying the feasibility of the equalization program and superiority.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"28 4","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To facilitate the large-scale application of direct methanol fuel cells (DMFCs), the issue of low Pt/C durability due to Pt degradation and carbon corrosion in harsh DMFC operating conditions must be addressed. A promising strategy is to hybridize metal oxides with carbon materials, resulting in a durable and conductive support that exhibits a strong metal-support interaction (SMSI) effect on platinum nanoparticles (Pt NPs). In this study, we introduced a TiO2 coating on carbon black, creating a TiO2 nanolayer between Pt and carbon black. The nanolayer not only protects the carbon black but also activates the SMSI effect on Pt. The resulting Pt/C@TiO2 electrocatalyst exhibits superior durability than commercial Pt/C. After the accelerated durability test, the mass activity loss of the methanol oxidation reaction (MOR) of Pt/C@TiO2 (32%) is significantly lower than that of Pt/C (46.8%). Moreover, the MOR activity of Pt/C@TiO2 is higher than Pt/C as well. It suggests that Pt/C@TiO2 shows great potential as a highly durable and active electrocatalyst for DMFCs.
{"title":"TiO2 nanolayer coated carbon as Pt support for enhanced methanol oxidation reaction","authors":"Weiqi Zhang, Yuan Jin, Meihui Tan, Huiyuan Liu, Qiang Ma, Qian Xu, Huaneng Su","doi":"10.1115/1.4064290","DOIUrl":"https://doi.org/10.1115/1.4064290","url":null,"abstract":"\u0000 To facilitate the large-scale application of direct methanol fuel cells (DMFCs), the issue of low Pt/C durability due to Pt degradation and carbon corrosion in harsh DMFC operating conditions must be addressed. A promising strategy is to hybridize metal oxides with carbon materials, resulting in a durable and conductive support that exhibits a strong metal-support interaction (SMSI) effect on platinum nanoparticles (Pt NPs). In this study, we introduced a TiO2 coating on carbon black, creating a TiO2 nanolayer between Pt and carbon black. The nanolayer not only protects the carbon black but also activates the SMSI effect on Pt. The resulting Pt/C@TiO2 electrocatalyst exhibits superior durability than commercial Pt/C. After the accelerated durability test, the mass activity loss of the methanol oxidation reaction (MOR) of Pt/C@TiO2 (32%) is significantly lower than that of Pt/C (46.8%). Moreover, the MOR activity of Pt/C@TiO2 is higher than Pt/C as well. It suggests that Pt/C@TiO2 shows great potential as a highly durable and active electrocatalyst for DMFCs.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"2010 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139002026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a novel technique based on an adaptive approach of Redacted Extended Kalman Filter (REKF) assimilating features of fuzzy logic for measuring the State-of-charge (SoC) for lithium-ion batteries. Accurately determining SoC is crucial for maximizing battery capacity and performance. However, existing extended Kalman filtering algorithms suffer from issues such as inadequate noise resistance and noise sensitivity, as well as difficulties in selecting the forgetting factor. Aforesaid REKF technique address these challenges adequately for parameter extraction.The proposed method involves establishing a Thevenin equivalent circuit model and using the Recursive Least Squares with Forgetting Factor (RLSFF) to identify model parameters.Further, an evaluation factor is established, and to adaptively adjust the value of the forgetting factor, fuzzy control is utilized to estimate the SoC accurately, which enhances the extended Kalman filtering algorithm with noise-adaptive algorithm features. This modified algorithm considers the identification results from the parameter estimation step and executes them circularly to achieve precise SoC estimation. Results demonstrate that the proposed method has excellent robustness and estimation accuracy compared to other filtering algorithms, even under variable working conditions including a wide range of State-of-Health (SOH) and temperature. The proposed method is expected to enhance the performance of battery management systems for various applications.
{"title":"A Novel Redacted Extended Kalman Filter and Fuzzy Logic based technique for measurement of State-of-charge of Lithium-ion battery","authors":"Chinmay Behra, R. Mandal, Amitesh Kumar","doi":"10.1115/1.4064096","DOIUrl":"https://doi.org/10.1115/1.4064096","url":null,"abstract":"This paper presents a novel technique based on an adaptive approach of Redacted Extended Kalman Filter (REKF) assimilating features of fuzzy logic for measuring the State-of-charge (SoC) for lithium-ion batteries. Accurately determining SoC is crucial for maximizing battery capacity and performance. However, existing extended Kalman filtering algorithms suffer from issues such as inadequate noise resistance and noise sensitivity, as well as difficulties in selecting the forgetting factor. Aforesaid REKF technique address these challenges adequately for parameter extraction.The proposed method involves establishing a Thevenin equivalent circuit model and using the Recursive Least Squares with Forgetting Factor (RLSFF) to identify model parameters.Further, an evaluation factor is established, and to adaptively adjust the value of the forgetting factor, fuzzy control is utilized to estimate the SoC accurately, which enhances the extended Kalman filtering algorithm with noise-adaptive algorithm features. This modified algorithm considers the identification results from the parameter estimation step and executes them circularly to achieve precise SoC estimation. Results demonstrate that the proposed method has excellent robustness and estimation accuracy compared to other filtering algorithms, even under variable working conditions including a wide range of State-of-Health (SOH) and temperature. The proposed method is expected to enhance the performance of battery management systems for various applications.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"6 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An effective battery thermal management system (BTMS) is necessary to quickly release the heat generated by power batteries under high discharge rate and ensure the safe operation of electric vehicles. Inspired by the biomimetic structure in nature, a novel liquid cooling BTMS with a cooling plate based on biomimetic fractal structure was proposed. By developing the physical model of the BTMS, numerical calculations were conducted to analyze the impacts of the structural parameters of the cooling plate and the inlet velocity of the coolant on the thermal performance of the batteries. The results showed that the cooling plate can meet the heat dissipation requirements of high temperature uniformity for the batteries under high discharge rate, especially under the extreme uniform channel distribution mode for the adjacent fractal branch at the same level. Moreover, the increase of the group number of fractal branches can improve the cooling capacity of the cooling plate and reduce the pressure drop of the coolant. The increase of the level number of channels, the length ratio, and the inlet velocity of the coolant can enhance the cooling capacity. However, these methods of enhancing heat transfer require more pump power consumption. When the group number of fractal branches is 4, the level number of channels is 3, the length ratio is 1 and the inlet velocity of the coolant is 0.5 m/s, the BTMS can control the maximum temperature and maximum temperature difference of the batteries under 4C-rate discharge within 31.68 °C and 4.15 °C, respectively. Finally, orthogonal test was conducted on four factors: the group number of fractal branches, the level number of channels, the length ratio and the inlet velocity of the coolant. The results showed that the level number of branches is the most important structural parameter.
{"title":"A novel liquid cooling battery thermal management system with a cooling plate based on biomimetic fractal channels","authors":"Zhiguo Tang, Yi Xiang, Man Li, Jianping Cheng","doi":"10.1115/1.4064095","DOIUrl":"https://doi.org/10.1115/1.4064095","url":null,"abstract":"An effective battery thermal management system (BTMS) is necessary to quickly release the heat generated by power batteries under high discharge rate and ensure the safe operation of electric vehicles. Inspired by the biomimetic structure in nature, a novel liquid cooling BTMS with a cooling plate based on biomimetic fractal structure was proposed. By developing the physical model of the BTMS, numerical calculations were conducted to analyze the impacts of the structural parameters of the cooling plate and the inlet velocity of the coolant on the thermal performance of the batteries. The results showed that the cooling plate can meet the heat dissipation requirements of high temperature uniformity for the batteries under high discharge rate, especially under the extreme uniform channel distribution mode for the adjacent fractal branch at the same level. Moreover, the increase of the group number of fractal branches can improve the cooling capacity of the cooling plate and reduce the pressure drop of the coolant. The increase of the level number of channels, the length ratio, and the inlet velocity of the coolant can enhance the cooling capacity. However, these methods of enhancing heat transfer require more pump power consumption. When the group number of fractal branches is 4, the level number of channels is 3, the length ratio is 1 and the inlet velocity of the coolant is 0.5 m/s, the BTMS can control the maximum temperature and maximum temperature difference of the batteries under 4C-rate discharge within 31.68 °C and 4.15 °C, respectively. Finally, orthogonal test was conducted on four factors: the group number of fractal branches, the level number of channels, the length ratio and the inlet velocity of the coolant. The results showed that the level number of branches is the most important structural parameter.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":"17 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Liao, Xuantong Hu, Hongguang Li, Shu Sun, Jiuchun Jiang
Abstract In order to solve the problem of lower available capacity and shorter cycle life due to the barrel effect of series-connected batteries, as well as the problem of pseudo-equalization caused by battery aging, this paper proposes a modified modular multilevel converter (MMC) reconfigurable equalization scheme with difference of voltage variation (DOVV) as the equalization variable. The equalization topology consists of an MMC circuit and a voltage regulator, which effectively solves the problems of low total available capacity, inefficient energy transfer, and slow equalization by reducing the number of switches and achieving independent control of the equalization and voltage regulator modules. A control strategy based on the Oxford aging dataset is proposed with DOVV as the equalization variable, and a fuzzy logic control algorithm is introduced according to the distribution characteristics of DOVV data. This equalization control strategy overcomes the pseudo-equalization phenomenon due to battery aging. The simulation results show that compared with the traditional DC–DC energy transfer equalization topology, the energy transfer efficiency of the proposed equalization topology is improved by 62.15% and the equalization time is reduced by about 16.36%, and the pseudo-equalization phenomenon caused by the aging of the battery pack during the equalization process is well overcome. The feasibility of the proposed equalization scheme is verified.
{"title":"Design of an improved modular multilevel converter reconfigurable equalization scheme based on difference of voltage variation","authors":"Li Liao, Xuantong Hu, Hongguang Li, Shu Sun, Jiuchun Jiang","doi":"10.1115/1.4063847","DOIUrl":"https://doi.org/10.1115/1.4063847","url":null,"abstract":"Abstract In order to solve the problem of lower available capacity and shorter cycle life due to the barrel effect of series-connected batteries, as well as the problem of pseudo-equalization caused by battery aging, this paper proposes a modified modular multilevel converter (MMC) reconfigurable equalization scheme with difference of voltage variation (DOVV) as the equalization variable. The equalization topology consists of an MMC circuit and a voltage regulator, which effectively solves the problems of low total available capacity, inefficient energy transfer, and slow equalization by reducing the number of switches and achieving independent control of the equalization and voltage regulator modules. A control strategy based on the Oxford aging dataset is proposed with DOVV as the equalization variable, and a fuzzy logic control algorithm is introduced according to the distribution characteristics of DOVV data. This equalization control strategy overcomes the pseudo-equalization phenomenon due to battery aging. The simulation results show that compared with the traditional DC–DC energy transfer equalization topology, the energy transfer efficiency of the proposed equalization topology is improved by 62.15% and the equalization time is reduced by about 16.36%, and the pseudo-equalization phenomenon caused by the aging of the battery pack during the equalization process is well overcome. The feasibility of the proposed equalization scheme is verified.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135293131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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