Pub Date : 2025-01-01DOI: 10.1016/j.ijoes.2024.100918
Wi Song Pak, Kye Hak Ko, Jin Hyok Ri, Jin Hyok Ro
An electrochemical sensing platform for glucose sensing was prepared by magnetic loading of Fe3O4/GO nanocomposites on graphite-epoxy composite electrode(GECE). The Fe3O4/GO nanocomposites were prepared by first preparing GO and then modifying it by co-precipitation of Fe2 + and Fe3+. Since the Fe3O4/GO nanocomposites have a magnetic property, they were effectively separated using a magnet and loaded on a graphite-epoxy composite electrode(GECE). The Fe3O4/GO/GECE modified electrode was characterized using scanning electron microscopy (SEM), X-ray diffraction analysis(XRD) and cyclic voltammetry (CV). The fabricated biosensor exhibited an excellent electrocatalytic activity. The linear range for glucose is from 0.5 to 6.5 mM with the detection limit of 268.5 µM (S/N = 3) and the sensitivity of 63.5 mA/mM. The effects of interfering substances such as ascorbic acid (AA), uric acid (UA) and dopamine (DA) were also investigated in details. The results confirmed that these interfering substances did not significantly affect the determination of glucose.
{"title":"Magnetic Fe3O4/GO nanocomposite-modified graphite-epoxy composite electrode for high-performance glucose sensing","authors":"Wi Song Pak, Kye Hak Ko, Jin Hyok Ri, Jin Hyok Ro","doi":"10.1016/j.ijoes.2024.100918","DOIUrl":"10.1016/j.ijoes.2024.100918","url":null,"abstract":"<div><div>An electrochemical sensing platform for glucose sensing was prepared by magnetic loading of Fe<sub>3</sub>O<sub>4</sub>/GO nanocomposites on graphite-epoxy composite electrode(GECE). The Fe<sub>3</sub>O<sub>4</sub>/GO nanocomposites were prepared by first preparing GO and then modifying it by co-precipitation of Fe<sup>2 +</sup> and Fe<sup>3+</sup>. Since the Fe<sub>3</sub>O<sub>4</sub>/GO nanocomposites have a magnetic property, they were effectively separated using a magnet and loaded on a graphite-epoxy composite electrode(GECE). The Fe<sub>3</sub>O<sub>4</sub>/GO/GECE modified electrode was characterized using scanning electron microscopy (SEM), X-ray diffraction analysis(XRD) and cyclic voltammetry (CV). The fabricated biosensor exhibited an excellent electrocatalytic activity. The linear range for glucose is from 0.5 to 6.5 mM with the detection limit of 268.5 <em>µ</em>M (S/N = 3) and the sensitivity of 63.5 mA/mM. The effects of interfering substances such as ascorbic acid (AA), uric acid (UA) and dopamine (DA) were also investigated in details. The results confirmed that these interfering substances did not significantly affect the determination of glucose.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 1","pages":"Article 100918"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.ijoes.2024.100883
Lei Liu , Xinyu Shan , Fengdong Bi , Chao Sun , Minhui Wang , Xubo Tan , Guoqi Ren , Yuna Xue
In this study, the electrochemical corrosion performance of both the base material and welded joint of X52 pipeline steel was analyzed at various temperatures (room temperature-RT, 30 °C, 50 °C, and 80 °C) using microscopic characterization techniques and electrochemical methods in a simulated soil solution (NS4). Additionally, the influence of temperatures on the electrochemical corrosion behavior of the X52 pipeline steel base material and welded joint was examined. The findings indicate that the open circuit potential (Eocp) of the base material and welded joint shifts in the negative direction with increasing temperature. The corrosion current density increased from 30.7 to 110.2 μA∕cm2 and from 19.5 to 100.2 μA∕cm2, respectively, while the polarization resistance dropped from 637.3 to 272.6 Ω•cm2 and from 961.3 to 360.7 Ω•cm2. Notably, anodic dissolution controls the corrosion process of the base material and welded joint of X52 pipeline steel at room temperature. Furthermore, the charge transfer resistance (Rt) of the base material and welded joint gradually decreases with increasing temperature, and the corrosion process transforms into cathodic diffusion control. Additionally, the welded joint of X52 pipeline steel exhibits superior corrosion resistance to that of the base material at the same temperature.
{"title":"Effect of temperature on the electrochemical corrosion behavior of X52 pipeline steel in NS4 simulated solution","authors":"Lei Liu , Xinyu Shan , Fengdong Bi , Chao Sun , Minhui Wang , Xubo Tan , Guoqi Ren , Yuna Xue","doi":"10.1016/j.ijoes.2024.100883","DOIUrl":"10.1016/j.ijoes.2024.100883","url":null,"abstract":"<div><div>In this study, the electrochemical corrosion performance of both the base material and welded joint of X52 pipeline steel was analyzed at various temperatures (room temperature-RT, 30 °C, 50 °C, and 80 °C) using microscopic characterization techniques and electrochemical methods in a simulated soil solution (NS4). Additionally, the influence of temperatures on the electrochemical corrosion behavior of the X52 pipeline steel base material and welded joint was examined. The findings indicate that the open circuit potential (<em>E</em><sub>ocp</sub>) of the base material and welded joint shifts in the negative direction with increasing temperature. The corrosion current density increased from 30.7 to 110.2 μA∕cm<sup>2</sup> and from 19.5 to 100.2 μA∕cm<sup>2</sup>, respectively, while the polarization resistance dropped from 637.3 to 272.6 Ω•cm<sup>2</sup> and from 961.3 to 360.7 Ω•cm<sup>2</sup>. Notably, anodic dissolution controls the corrosion process of the base material and welded joint of X52 pipeline steel at room temperature. Furthermore, the charge transfer resistance (<em>R</em><sub>t</sub>) of the base material and welded joint gradually decreases with increasing temperature, and the corrosion process transforms into cathodic diffusion control. Additionally, the welded joint of X52 pipeline steel exhibits superior corrosion resistance to that of the base material at the same temperature.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 1","pages":"Article 100883"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.ijoes.2024.100915
Lei Fan , E. Zhang , Tianqiang Yang , Haomiao Li , Bo Li , Kangli Wang , Kai Jiang
Liquid metal battery(LMB) based on liquid metal electrodes and inorganic molten salt electrolyte has the advantages of low-cost, long-lifespan and high-safety, and has great application prospect in the field of large-scale power storage. The state of charge (SOC) balancing plays a vital role in ensuring efficient operation of the battery system. However, developing a balancing scheme for LMBs remains a significant challenge due to the relatively low and flat open-circuit-voltage versus SOC curve of LMBs. In this paper, a two-level bidirectional balancing architecture is implemented for series-connected LMBs to provide flexible energy transfer pathways. And the switches on the circuit are controlled by synchronous rectification to reduce the voltage drop across the circuit caused by the switches, which is particularly important for LMBs. In order to overcome the “energy transfer back and forth” problem, the Floyd-Warshall algorithm is proposed to optimize balancing pathways for series-connected LMBs. In the 16-series LMBs simulation, the result indicates that the energy transferring pathway can be effectively optimized, the equalization time of the proposed balancing methodology is 195 s and 200 s in the static and dynamic state, respectively. Compared to the most value equalization algorithm, this proposed scheme can equalize the SOC values of LMB strings efficiently with a faster speed.
{"title":"A balancing system for liquid metal batteries using the Floyd-Warshall algorithm","authors":"Lei Fan , E. Zhang , Tianqiang Yang , Haomiao Li , Bo Li , Kangli Wang , Kai Jiang","doi":"10.1016/j.ijoes.2024.100915","DOIUrl":"10.1016/j.ijoes.2024.100915","url":null,"abstract":"<div><div>Liquid metal battery(LMB) based on liquid metal electrodes and inorganic molten salt electrolyte has the advantages of low-cost, long-lifespan and high-safety, and has great application prospect in the field of large-scale power storage. The state of charge (SOC) balancing plays a vital role in ensuring efficient operation of the battery system. However, developing a balancing scheme for LMBs remains a significant challenge due to the relatively low and flat open-circuit-voltage versus SOC curve of LMBs. In this paper, a two-level bidirectional balancing architecture is implemented for series-connected LMBs to provide flexible energy transfer pathways. And the switches on the circuit are controlled by synchronous rectification to reduce the voltage drop across the circuit caused by the switches, which is particularly important for LMBs. In order to overcome the “energy transfer back and forth” problem, the Floyd-Warshall algorithm is proposed to optimize balancing pathways for series-connected LMBs. In the 16-series LMBs simulation, the result indicates that the energy transferring pathway can be effectively optimized, the equalization time of the proposed balancing methodology is 195 s and 200 s in the static and dynamic state, respectively. Compared to the most value equalization algorithm, this proposed scheme can equalize the SOC values of LMB strings efficiently with a faster speed.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 1","pages":"Article 100915"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.ijoes.2024.100912
Hanan F. Emrayed , Enas A. Amraga , Dalal M. Ibrahim , Abd El-Aziz S. Fouda
This research explored the synthesis of a Schiff base and its metal complexes Mn (II) and Cu (II). The corrosion inhibition efficiency (% IE) of these compounds on carbon steel (CS) in 1 M HCl was studied at temperatures ranging from 25 to 55 °C by weight loss (WL) method. The inhibition effect was also studied by electrochemical impedance spectroscopy (EIS), and potentiodynamic polarization (PDP). Electrochemical testing results show that these compounds are particularly powerful inhibitors, which L-Cu provides a considerable inhibition (% IE) of 90.9 % at 9 × 10−6 M at 298 K. The results also demonstrate that the % IE of the three inhibitors increased with increasing inhibitor concentration, revealing that these compounds adsorb significantly to the steel surface. On the other hand, % IE decreased with raising temperature. The polarization curves indicated that Schiff base and its metal complexes acts as a mixed-type inhibitors. The Langmuir adsorption isotherm model accurately describes the adsorption of the investigated compounds. The high binding constant of Schiff base and its metal complexes showed a stronger interaction between the metal surface and the complex. The obtained data revealed that these compounds had remarkable inhibiting effects on the corrosion of steel in 1 M HCl. The thermodynamic activation and adsorption parameters were calculated. The data explained that the inhibition takes place through the physical adsorption. The surface morphology was characterized using a multi-technique. These analyses indicated that these compounds adsorbed onto the surface of CS by forming a barrier between the inhibitors and the vacant d-orbital of iron. The results obtained from both experimental and surface analysis methods were found to be in good agreement.
{"title":"Corrosion inhibition effect of Schiff base and its metal complexes with [Mn (II) and Cu (II)] on carbon steel in hydrochloric acid solution: Experimental and surface studies","authors":"Hanan F. Emrayed , Enas A. Amraga , Dalal M. Ibrahim , Abd El-Aziz S. Fouda","doi":"10.1016/j.ijoes.2024.100912","DOIUrl":"10.1016/j.ijoes.2024.100912","url":null,"abstract":"<div><div>This research explored the synthesis of a Schiff base and its metal complexes Mn (II) and Cu (II). The corrosion inhibition efficiency (% IE) of these compounds on carbon steel (CS) in 1 M HCl was studied at temperatures ranging from 25 to 55 °C by weight loss (WL) method. The inhibition effect was also studied by electrochemical impedance spectroscopy (EIS), and potentiodynamic polarization (PDP). Electrochemical testing results show that these compounds are particularly powerful inhibitors, which L-Cu provides a considerable inhibition (% IE) of 90.9 % at 9 × 10<sup>−6</sup> M at 298 K. The results also demonstrate that the % IE of the three inhibitors increased with increasing inhibitor concentration, revealing that these compounds adsorb significantly to the steel surface. On the other hand, % IE decreased with raising temperature. The polarization curves indicated that Schiff base and its metal complexes acts as a mixed-type inhibitors. The Langmuir adsorption isotherm model accurately describes the adsorption of the investigated compounds. The high binding constant of Schiff base and its metal complexes showed a stronger interaction between the metal surface and the complex. The obtained data revealed that these compounds had remarkable inhibiting effects on the corrosion of steel in 1 M HCl. The thermodynamic activation and adsorption parameters were calculated. The data explained that the inhibition takes place through the physical adsorption. The surface morphology was characterized using a multi-technique. These analyses indicated that these compounds adsorbed onto the surface of CS by forming a barrier between the inhibitors and the vacant d-orbital of iron. The results obtained from both experimental and surface analysis methods were found to be in good agreement.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 1","pages":"Article 100912"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.ijoes.2024.100908
Weiwei Wang , Wenhao Zhang , Xiaomei Xu , Yi He , Tianci Zhang
To improve the accuracy of state of charge (SOC) prediction for electric vehicle batteries under dynamic conditions, this paper proposes a novel joint algorithm combining forgetting factor recursive least squares with adaptive extended Kalman filtering (GS-IFFRLS-AEKF). The GS-IFFRLS method is applied for real-time parameter identification of the battery dual-polarization equivalent circuit model, ensuring accurate representation of the battery’s dynamic behavior. Furthermore, the AEKF algorithm is integrated to handle uncertainties and noise caused by varying battery conditions. Simulation and experimental results show that the GS-IFFRLS-AEKF algorithm achieves high accuracy and robustness under HPPC and DST conditions, with a maximum voltage error of 0.08 V and SOC errors reduced to 0.5 %. The method demonstrates excellent performance in dynamic and complex load scenarios, providing an efficient and accurate solution for SOC prediction in electric vehicle.
{"title":"State of charge prediction of power battery based on dual polarization equivalent circuit model and improved joint algorithm","authors":"Weiwei Wang , Wenhao Zhang , Xiaomei Xu , Yi He , Tianci Zhang","doi":"10.1016/j.ijoes.2024.100908","DOIUrl":"10.1016/j.ijoes.2024.100908","url":null,"abstract":"<div><div>To improve the accuracy of state of charge (SOC) prediction for electric vehicle batteries under dynamic conditions, this paper proposes a novel joint algorithm combining forgetting factor recursive least squares with adaptive extended Kalman filtering (GS-IFFRLS-AEKF). The GS-IFFRLS method is applied for real-time parameter identification of the battery dual-polarization equivalent circuit model, ensuring accurate representation of the battery’s dynamic behavior. Furthermore, the AEKF algorithm is integrated to handle uncertainties and noise caused by varying battery conditions. Simulation and experimental results show that the GS-IFFRLS-AEKF algorithm achieves high accuracy and robustness under HPPC and DST conditions, with a maximum voltage error of 0.08 V and SOC errors reduced to 0.5 %. The method demonstrates excellent performance in dynamic and complex load scenarios, providing an efficient and accurate solution for SOC prediction in electric vehicle.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 1","pages":"Article 100908"},"PeriodicalIF":1.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-16DOI: 10.1016/j.ijoes.2024.100919
Hemalatha Parangusan , Mostafa H. Sliem , Aboubakr M. Abdullah , Muhsen Elhaddad , Noora Al-Thani , Jolly Bhadra
Green corrosion inhibitors are an innovative approach to corrosion prevention that has a low environmental impact and reduces corrosion rates to an adequate level, making them one of the most important modern corrosion prevention strategies. A variety of organic chemicals were examined to determine whether they could potentially reduce corrosion. Research indicates that these organic compounds' good inhibitory efficiency has been found when N, S, and O are present. However, they are costly and have a severe harmful effect on aquatic and animal life as well as the environment. Consequently, in order to accomplish the goal of using inexpensive, ecologically friendly, plentiful, and efficient molecules with very high inhibiting efficacy and minimal impact on the environment, natural products and plant extracts have been proposed. We conducted a systematic literature review on the effect of corrosion inhibition performance of plant-based green corrosion inhibitors. Following a filtration procedure that adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, we reviewed the publications on Scopus and Web of Science and found 35 that were relevant to the aim of the study. The protective film formation and adsorption mechanisms, as well as the effectiveness of natural compounds employed as green corrosion inhibitors for carbon steel in various acid conditions, are discussed in this article.
{"title":"Plant extract as green corrosion inhibitors for carbon steel substrate in different environments: A systematic review","authors":"Hemalatha Parangusan , Mostafa H. Sliem , Aboubakr M. Abdullah , Muhsen Elhaddad , Noora Al-Thani , Jolly Bhadra","doi":"10.1016/j.ijoes.2024.100919","DOIUrl":"10.1016/j.ijoes.2024.100919","url":null,"abstract":"<div><div>Green corrosion inhibitors are an innovative approach to corrosion prevention that has a low environmental impact and reduces corrosion rates to an adequate level, making them one of the most important modern corrosion prevention strategies. A variety of organic chemicals were examined to determine whether they could potentially reduce corrosion. Research indicates that these organic compounds' good inhibitory efficiency has been found when N, S, and O are present. However, they are costly and have a severe harmful effect on aquatic and animal life as well as the environment. Consequently, in order to accomplish the goal of using inexpensive, ecologically friendly, plentiful, and efficient molecules with very high inhibiting efficacy and minimal impact on the environment, natural products and plant extracts have been proposed. We conducted a systematic literature review on the effect of corrosion inhibition performance of plant-based green corrosion inhibitors. Following a filtration procedure that adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, we reviewed the publications on Scopus and Web of Science and found 35 that were relevant to the aim of the study. The protective film formation and adsorption mechanisms, as well as the effectiveness of natural compounds employed as green corrosion inhibitors for carbon steel in various acid conditions, are discussed in this article.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 4","pages":"Article 100919"},"PeriodicalIF":1.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01DOI: 10.1016/j.ijoes.2024.100871
Liang Bai
{"title":"Retraction notice to ‘Electrochemical behavior of salbutamol, clenbuterol, ractopamine and albuterol at CNTs/GCE’ [Int. J. Electrochem. Sci. 17/5 (2022) 220567]","authors":"Liang Bai","doi":"10.1016/j.ijoes.2024.100871","DOIUrl":"10.1016/j.ijoes.2024.100871","url":null,"abstract":"","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"19 12","pages":"Article 100871"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-28DOI: 10.1016/j.ijoes.2024.100891
Fengxun Tian , Shuwen Chen , Xiaofan Ji , Jiongyuan Xu , Mingkun Yang , Ran Xiong
Accurate perception of the state of health (SOH) of lithium-ion batteries is crucial for their safety and reliable operation. To meet this demand, a recursive feature elimination-deep bidirectional long short-term memory (RFE-DBiLSTM) model suitable for partial charging data is proposed to effectively estimate the SOH of lithium-ion batteries. In this study, the recursive feature elimination (RFE) method is used to screen multiple charging features for obtaining the key features that best represent the SOH under two scenarios with different charging segment lengths. Due to the robust noise-filtering capability and strong ability to capture complex and multi-level temporal dependencies, the deep bidirectional long short-term memory (DBiLSTM) model is used for time series data training, verification, and testing during aging. Experimental results show that compared with benchmark time series models such as long short-term memory (LSTM) and gated recurrent unit (GRU), the proposed method significantly reduces the estimated mean absolute error (MAE) and root mean square error (RMSE) on diverse batteries in the above scenarios. In the scenario for missing partial constant current (CC) charging data, the MAE and RMSE of B0005 cell are 0.0062 and 0.0094, the MAE and RMSE of B0006 cell are 0.0294 and 0.0314, the MAE and RMSE of CS2_36 cell are 0.0510 and 0.0601, the MAE and RMSE of B0029 cell are 0.0057 and 0.0072, and the MAE and RMSE of B0030 cell are 0.0088 and 0.0102. This research innovatively combines the RFE method with the DBiLSTM model to improve the accuracy and robustness of SOH estimation.
准确感知锂离子电池的健康状态（SOH）对锂离子电池的安全可靠运行至关重要。针对这一需求，提出了一种适用于局部充电数据的递归特征消除-深度双向长短期记忆（RFE-DBiLSTM）模型，以有效估计锂离子电池的SOH。本研究采用递归特征消去（RFE）方法对多个充电特征进行筛选，获得两种不同充电段长度场景下最能代表SOH的关键特征。由于深度双向长短期记忆（deep bidirectional long - short- memory, DBiLSTM）模型具有鲁棒的噪声滤波能力和较强的捕获复杂和多层次时间依赖性的能力，该模型被用于时间序列数据在老化过程中的训练、验证和测试。实验结果表明，与长短期记忆（LSTM）和门控循环单元（GRU）等基准时间序列模型相比，该方法在上述场景下显著降低了不同电池的估计平均绝对误差（MAE）和均方根误差（RMSE）。在缺少部分恒流充电数据的情况下，B0005电池的MAE和RMSE分别为0.0062和0.0094，B0006电池的MAE和RMSE分别为0.0294和0.0314，CS2_36电池的MAE和RMSE分别为0.0510和0.0601，B0029电池的MAE和RMSE分别为0.0057和0.0072，B0030电池的MAE和RMSE分别为0.0088和0.0102。本研究创新性地将RFE方法与DBiLSTM模型相结合，提高了SOH估计的精度和鲁棒性。
{"title":"Robust lithium-ion battery state of health estimation based on recursive feature elimination-deep Bidirectional long short-term memory model using partial charging data","authors":"Fengxun Tian , Shuwen Chen , Xiaofan Ji , Jiongyuan Xu , Mingkun Yang , Ran Xiong","doi":"10.1016/j.ijoes.2024.100891","DOIUrl":"10.1016/j.ijoes.2024.100891","url":null,"abstract":"<div><div>Accurate perception of the state of health (SOH) of lithium-ion batteries is crucial for their safety and reliable operation. To meet this demand, a recursive feature elimination-deep bidirectional long short-term memory (RFE-DBiLSTM) model suitable for partial charging data is proposed to effectively estimate the SOH of lithium-ion batteries. In this study, the recursive feature elimination (RFE) method is used to screen multiple charging features for obtaining the key features that best represent the SOH under two scenarios with different charging segment lengths. Due to the robust noise-filtering capability and strong ability to capture complex and multi-level temporal dependencies, the deep bidirectional long short-term memory (DBiLSTM) model is used for time series data training, verification, and testing during aging. Experimental results show that compared with benchmark time series models such as long short-term memory (LSTM) and gated recurrent unit (GRU), the proposed method significantly reduces the estimated mean absolute error (MAE) and root mean square error (RMSE) on diverse batteries in the above scenarios. In the scenario for missing partial constant current (CC) charging data, the MAE and RMSE of B0005 cell are 0.0062 and 0.0094, the MAE and RMSE of B0006 cell are 0.0294 and 0.0314, the MAE and RMSE of CS2_36 cell are 0.0510 and 0.0601, the MAE and RMSE of B0029 cell are 0.0057 and 0.0072, and the MAE and RMSE of B0030 cell are 0.0088 and 0.0102. This research innovatively combines the RFE method with the DBiLSTM model to improve the accuracy and robustness of SOH estimation.</div></div>","PeriodicalId":13872,"journal":{"name":"International Journal of Electrochemical Science","volume":"20 1","pages":"Article 100891"},"PeriodicalIF":1.3,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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