A new model for simulating battery temperature changes from the lower surface to the upper surface is proposed. The cell model is established with experimental calibration. Simultaneously, the Cell-to-Pack model is established through experimental benchmarking. In addition, the thermal properties of Cell-to-Pack and an ordinary battery pack that has an enclosure on the basis were compared under four different working conditions. The results indicate that adding an enclosure to the Cell-to-Pack has little effect on the thermal performance of the battery pack. Adding an enclosure to the Cell-to-Pack hardly improve the temperature uniformity of the battery under cooling conditions; the temperature difference between the upper and lower surfaces of the batteries at both ends of the module drops by approximately 0.5°C, while the central temperature difference is basically unchanged. Compared with fast charging without cooling, the battery temperature dropped by more than 12°C under the fast charge condition with cooling. More importantly, the specific energy and packaging efficiency of the battery dropped from 160.27Wh·kg−1 and 73.1% to 148.72 Wh·kg−1 and 67.8%, respectively, after the Cell-to-Pack was added with an enclosure.
{"title":"Experimental and Simulations Study of Thermal Performance of Cell-to-Pack Structure for a Li-ion Battery Pack","authors":"Kai Shen, Linsen Yang, Jieyu Sun, Chengshan Xu, Huaibin Wang, Yuejiu Zheng, Xuning Feng","doi":"10.1115/1.4056112","DOIUrl":"https://doi.org/10.1115/1.4056112","url":null,"abstract":"\u0000 A new model for simulating battery temperature changes from the lower surface to the upper surface is proposed. The cell model is established with experimental calibration. Simultaneously, the Cell-to-Pack model is established through experimental benchmarking. In addition, the thermal properties of Cell-to-Pack and an ordinary battery pack that has an enclosure on the basis were compared under four different working conditions. The results indicate that adding an enclosure to the Cell-to-Pack has little effect on the thermal performance of the battery pack. Adding an enclosure to the Cell-to-Pack hardly improve the temperature uniformity of the battery under cooling conditions; the temperature difference between the upper and lower surfaces of the batteries at both ends of the module drops by approximately 0.5°C, while the central temperature difference is basically unchanged. Compared with fast charging without cooling, the battery temperature dropped by more than 12°C under the fast charge condition with cooling. More importantly, the specific energy and packaging efficiency of the battery dropped from 160.27Wh·kg−1 and 73.1% to 148.72 Wh·kg−1 and 67.8%, respectively, after the Cell-to-Pack was added with an enclosure.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42964402","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}
Anion exchange membrane fuel cells (AEMFCs) are in development as a low-cost alternative to proton exchange membrane fuel cells (PEMFCs). AEMFCs produce water at the anode side and consume it at the cathode side, resulting in no cathode water-flooding like in PEMFCS. However, it brings complexity to water transportation behaviour and requires appropriate water balance to avoid membrane drying out. In this study, a two-dimensional two-phase multi-physics model has been developed to investigate the impacts of three key electrode parameters (porosity, catalyst loading, and ionomer content) that are responsible for water production and transport as well as the performance of an AEMFC. A piecewise constant function along the x-direction (reactant diffusion direction) is used to apply the gradient on the porosity and platinum loading. The present results show that a larger porosity gradient near the cathode gas-diffusion layer (GDL)/flow-channel interface and lower near the GDL/microporous layer (MPL) interface can enhance mass transport and water removal, which is benefited the AEMFC performance. However, anode GDL porosity gradients show a lower AEMFC performance compared to the cathode porosity gradients. Moreover, it was confirmed that for both electrodes, the performance of AEMFC was significantly dependent on each electrode parameter.
{"title":"Investigation of Gradient Platinum-Loading and Porosity Distribution for Anion Exchange Membrane Fuel Cells","authors":"H. Mousa, L. Xing, P. Das","doi":"10.1115/1.4056029","DOIUrl":"https://doi.org/10.1115/1.4056029","url":null,"abstract":"\u0000 Anion exchange membrane fuel cells (AEMFCs) are in development as a low-cost alternative to proton exchange membrane fuel cells (PEMFCs). AEMFCs produce water at the anode side and consume it at the cathode side, resulting in no cathode water-flooding like in PEMFCS. However, it brings complexity to water transportation behaviour and requires appropriate water balance to avoid membrane drying out. In this study, a two-dimensional two-phase multi-physics model has been developed to investigate the impacts of three key electrode parameters (porosity, catalyst loading, and ionomer content) that are responsible for water production and transport as well as the performance of an AEMFC. A piecewise constant function along the x-direction (reactant diffusion direction) is used to apply the gradient on the porosity and platinum loading. The present results show that a larger porosity gradient near the cathode gas-diffusion layer (GDL)/flow-channel interface and lower near the GDL/microporous layer (MPL) interface can enhance mass transport and water removal, which is benefited the AEMFC performance. However, anode GDL porosity gradients show a lower AEMFC performance compared to the cathode porosity gradients. Moreover, it was confirmed that for both electrodes, the performance of AEMFC was significantly dependent on each electrode parameter.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45464533","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}
Jianlong Chen, Chenghao Zhang, Cong Chen, Chenlei Lu, Xuan Dongji
State of charge (SOC) of lithium-ion battery is an indispensable performance indicator in battery management system (BMS), which is essential to ensure the safe operation of the battery and avoid potential hazards. However, SOC can't be directly measured by sensors or tools. In order to accurately estimate the SOC, this paper proposes a convolutional neural network based on self-attention mechanism. Firstly, the one-dimensional convolution is introduced to extract features from battery voltage, current, and temperature data. Then the self-attention mechanism can reduce the dependence on external information and well capture the internal correlation of features extracted by the convolutional layer. Finally, the proposed method is validated on four dynamic driving conditions at five temperatures and compared with other two deep learning methods. The experimental results show that the proposed method has good accuracy and robustness.
{"title":"State-of-charge estimation of lithium-ion batteries using convolutional neural network with self-attention mechanism","authors":"Jianlong Chen, Chenghao Zhang, Cong Chen, Chenlei Lu, Xuan Dongji","doi":"10.1115/1.4055985","DOIUrl":"https://doi.org/10.1115/1.4055985","url":null,"abstract":"\u0000 State of charge (SOC) of lithium-ion battery is an indispensable performance indicator in battery management system (BMS), which is essential to ensure the safe operation of the battery and avoid potential hazards. However, SOC can't be directly measured by sensors or tools. In order to accurately estimate the SOC, this paper proposes a convolutional neural network based on self-attention mechanism. Firstly, the one-dimensional convolution is introduced to extract features from battery voltage, current, and temperature data. Then the self-attention mechanism can reduce the dependence on external information and well capture the internal correlation of features extracted by the convolutional layer. Finally, the proposed method is validated on four dynamic driving conditions at five temperatures and compared with other two deep learning methods. The experimental results show that the proposed method has good accuracy and robustness.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47538572","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}
For the problem of performance gap between individual cells in retired lithium batteries after group use, which affects the usable capacity of battery pack, a grouping bi-directional equalization method based on variable domain fuzzy control is proposed. Equalization circuits based on single inductor and LC oscillation circuit are respectively used for inter-cell and inter-cell group, to achieve inter-cell equalization and inter-cell group equalization; Variable domain fuzzy control strategy is used to determine the reasonable range of operating current according to State of Health (SOH) of the battery, combined with the relationship between the capacity decay coefficient and the average operational range of State of Charge (SOC); the equalization current is dynamically adjusted according to its mathematical relationship with operating current. To verify the effectiveness of this equalization method, an experimental platform was built and verification simulations were performed. The result of experiments shows, the equalization speed is increased by 25%, comparing to fixed equalization current control strategy; the capacity decay is reduced by 6% and the service life is extended after experiments of 1200 charge-discharge cycles, comparing to traditional fuzzy equalization strategy.
{"title":"Balancing method of retired battery pack based on variable domain fuzzy control","authors":"Tiezhou Wu, Liuliang Chen, Yuhong Xu, Xiaoxing Zhang","doi":"10.1115/1.4055880","DOIUrl":"https://doi.org/10.1115/1.4055880","url":null,"abstract":"\u0000 For the problem of performance gap between individual cells in retired lithium batteries after group use, which affects the usable capacity of battery pack, a grouping bi-directional equalization method based on variable domain fuzzy control is proposed. Equalization circuits based on single inductor and LC oscillation circuit are respectively used for inter-cell and inter-cell group, to achieve inter-cell equalization and inter-cell group equalization; Variable domain fuzzy control strategy is used to determine the reasonable range of operating current according to State of Health (SOH) of the battery, combined with the relationship between the capacity decay coefficient and the average operational range of State of Charge (SOC); the equalization current is dynamically adjusted according to its mathematical relationship with operating current. To verify the effectiveness of this equalization method, an experimental platform was built and verification simulations were performed. The result of experiments shows, the equalization speed is increased by 25%, comparing to fixed equalization current control strategy; the capacity decay is reduced by 6% and the service life is extended after experiments of 1200 charge-discharge cycles, comparing to traditional fuzzy equalization strategy.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47799609","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}
In order to improve the accuracy of battery pack inconsistency fault detection, an optimal deep belief network (DBN) single battery inconsistency fault detection model based on Grey Wolf Algorithm (GWA) was proposed. The performance of the DBN model is affected by the weights and bias parameters, and the gray wolf algorithm has a good ability to seek optimization, so the gray wolf algorithm is used to optimize the connection weights of the DBN network. Therefore, the accuracy rate of battery inconsistency diagnosis is improved. The battery voltage characteristic data is used as the input signal of the DBN model. The health and faults of the single cells are used as the output signals of the DBN model. The battery inconsistency fault detection model of GWA-DBN is established. Through the comparison and simulation with other algorithms, it is proved that the designed model has higher diagnostic accuracy, better fitting effect and good application prospect.
{"title":"Simple and effective fault diagnosis method of power lithium-ion battery based on GWA-DBN","authors":"Bin Pan, Wen Gao, Yuhang Peng, Zhilin Hu, Lujun Wang, Jiuchun Jiang","doi":"10.1115/1.4055801","DOIUrl":"https://doi.org/10.1115/1.4055801","url":null,"abstract":"\u0000 In order to improve the accuracy of battery pack inconsistency fault detection, an optimal deep belief network (DBN) single battery inconsistency fault detection model based on Grey Wolf Algorithm (GWA) was proposed. The performance of the DBN model is affected by the weights and bias parameters, and the gray wolf algorithm has a good ability to seek optimization, so the gray wolf algorithm is used to optimize the connection weights of the DBN network. Therefore, the accuracy rate of battery inconsistency diagnosis is improved. The battery voltage characteristic data is used as the input signal of the DBN model. The health and faults of the single cells are used as the output signals of the DBN model. The battery inconsistency fault detection model of GWA-DBN is established. Through the comparison and simulation with other algorithms, it is proved that the designed model has higher diagnostic accuracy, better fitting effect and good application prospect.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44946295","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 novel after-burner used for the heat-up and normal operating conditions of metal-supported planar solid oxide fuel cell (SOFC) system, is designed and experimentally studied in this paper. The burner construction and the calculation of maximum burner power are showed in detail. Meanwhile, its static characteristics are researched through the influence of excess air ratio (ER), air velocity, inlet air temperature and fuel utilization rate (Uf); its transient characteristics are researched through the processes of burner start-up, burner operating state switch and stack start-up. Results suggest that the best ER value gets larger with the increased burner power. The air velocity is better controlled within 3 m·s-1 to prevent the influence of lifted flame. High inlet air temperature can extend lean combustion range and reduce incomplete combustion products, but large ER mutation should still be avoided. In case of anode off gas combusting with cathode off gas, there are nearly zero emissions. Meanwhile, the flue gas temperature decreases to about 760 °C because of enlarged heat loss, but it is minimally influenced by Uf. Under static condition, the optimal point with both controlled temperature and lowest emissions can be obtained in wide range, and the after-burner can well adapt to various operating states of the stack. Under transient condition, the after-burner has good response performance with much shorter time in burner start-up and burner operating state switch than conventional porous media ones. It can start up the stack in 1715 seconds.
{"title":"The characteristics of a novel after-burner used for metal-supported planar SOFC system","authors":"Siyuan Li, Zhe Zhang, Guo-xiang Li, Shuzhan Bai","doi":"10.1115/1.4055773","DOIUrl":"https://doi.org/10.1115/1.4055773","url":null,"abstract":"\u0000 A novel after-burner used for the heat-up and normal operating conditions of metal-supported planar solid oxide fuel cell (SOFC) system, is designed and experimentally studied in this paper. The burner construction and the calculation of maximum burner power are showed in detail. Meanwhile, its static characteristics are researched through the influence of excess air ratio (ER), air velocity, inlet air temperature and fuel utilization rate (Uf); its transient characteristics are researched through the processes of burner start-up, burner operating state switch and stack start-up. Results suggest that the best ER value gets larger with the increased burner power. The air velocity is better controlled within 3 m·s-1 to prevent the influence of lifted flame. High inlet air temperature can extend lean combustion range and reduce incomplete combustion products, but large ER mutation should still be avoided. In case of anode off gas combusting with cathode off gas, there are nearly zero emissions. Meanwhile, the flue gas temperature decreases to about 760 °C because of enlarged heat loss, but it is minimally influenced by Uf. Under static condition, the optimal point with both controlled temperature and lowest emissions can be obtained in wide range, and the after-burner can well adapt to various operating states of the stack. Under transient condition, the after-burner has good response performance with much shorter time in burner start-up and burner operating state switch than conventional porous media ones. It can start up the stack in 1715 seconds.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42773766","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}
J. Duan, Zhenwei Wang, Jian Lin, Lijun Lv, Xingbo Han, W. Liu, Jun Li
In this study, La0.75Ce0.25Ni5-xMnx (x = 0, 0.1, 0.2, 0.3) alloys were prepared by vacuum arc melting. The effect of the addition of Mn on the alloy microstructure and hydrogen absorption/desorption properties were explored by characterizing X-ray diffraction (XRD), scanning electron microscopy (SEM), laser particle size test, hydrogen absorption kinetic test, and P-C-T test. The XRD results show that the series of alloys are single-phase alloys composed of the LaNi5 phase, and the cell volume of the alloy gradually increases as the amount of Mn replacing Ni increases. The P-C-T curve of the alloy shows that the alloy has obvious hydrogen absorption/desorption plateau regions, which gradually decrease with increasing Mn content, while the hydrogen storage capacity remains unchanged. The hydrogen absorption kinetic curve of the alloy was tested, and it was found that the hydrogen absorption rate of the alloy increased with the increase of Mn content. These studies show that doping the Mn element in the La0.75Ce0.25Ni5-xMnx (x = 0, 0.1, 0.2, 0.3) alloys may regulate plateau pressure without affecting the hydrogen storage capacity or kinetics properties, providing a reference for the application of this type of alloy in hydrogen pressurization, purification, etc.
{"title":"Effect of Mn substitution on the structure and hydrogen storage properties of La0.75Ce0.25Ni5-xMnx alloy","authors":"J. Duan, Zhenwei Wang, Jian Lin, Lijun Lv, Xingbo Han, W. Liu, Jun Li","doi":"10.1115/1.4055694","DOIUrl":"https://doi.org/10.1115/1.4055694","url":null,"abstract":"\u0000 In this study, La0.75Ce0.25Ni5-xMnx (x = 0, 0.1, 0.2, 0.3) alloys were prepared by vacuum arc melting. The effect of the addition of Mn on the alloy microstructure and hydrogen absorption/desorption properties were explored by characterizing X-ray diffraction (XRD), scanning electron microscopy (SEM), laser particle size test, hydrogen absorption kinetic test, and P-C-T test. The XRD results show that the series of alloys are single-phase alloys composed of the LaNi5 phase, and the cell volume of the alloy gradually increases as the amount of Mn replacing Ni increases. The P-C-T curve of the alloy shows that the alloy has obvious hydrogen absorption/desorption plateau regions, which gradually decrease with increasing Mn content, while the hydrogen storage capacity remains unchanged. The hydrogen absorption kinetic curve of the alloy was tested, and it was found that the hydrogen absorption rate of the alloy increased with the increase of Mn content. These studies show that doping the Mn element in the La0.75Ce0.25Ni5-xMnx (x = 0, 0.1, 0.2, 0.3) alloys may regulate plateau pressure without affecting the hydrogen storage capacity or kinetics properties, providing a reference for the application of this type of alloy in hydrogen pressurization, purification, etc.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46536446","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}
Jiayu Yu, Shuai Yin, Gangyi Xiong, Xianggang Guan, J. Xia, Jiajie Li, Shichao Zhang, Yalan Xing, P. Yang
Porous metallic materials are widely used for lithium-ion battery (LIB) electrodes because of their low density, efficient ionic/electron pathways, and high specific surface area. In this study, we fabricate nanoporous Cu using chemical and electrochemical dealloying methods based on a Cu-Ga alloy. The effects of the dealloying conditions on the derived microstructure of the nanoporous metal and its evolution mechanisms are discussed. Analysis and control of the electrochemical dealloying process reveal that the sample morphology can be adjusted and the phase component can be controlled. Accordingly, a 3D CuGa2 electrode with a nanoporous structure is controllable synthesized, and it exhibits a higher specific capacity and cyclic stability than a 2D CuGa2 electrode when used as a LIB anode.
{"title":"Controllable dealloying of a Cu-Ga alloy and its application as an anode material for lithium-ion batteries","authors":"Jiayu Yu, Shuai Yin, Gangyi Xiong, Xianggang Guan, J. Xia, Jiajie Li, Shichao Zhang, Yalan Xing, P. Yang","doi":"10.1115/1.4055695","DOIUrl":"https://doi.org/10.1115/1.4055695","url":null,"abstract":"\u0000 Porous metallic materials are widely used for lithium-ion battery (LIB) electrodes because of their low density, efficient ionic/electron pathways, and high specific surface area. In this study, we fabricate nanoporous Cu using chemical and electrochemical dealloying methods based on a Cu-Ga alloy. The effects of the dealloying conditions on the derived microstructure of the nanoporous metal and its evolution mechanisms are discussed. Analysis and control of the electrochemical dealloying process reveal that the sample morphology can be adjusted and the phase component can be controlled. Accordingly, a 3D CuGa2 electrode with a nanoporous structure is controllable synthesized, and it exhibits a higher specific capacity and cyclic stability than a 2D CuGa2 electrode when used as a LIB anode.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48425107","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 novel cost effective Chitosan-PVA-Red Mud (RM) hybrid membranes are developed and their morphological and physiochemical properties are studied. The addition of RM enhanced IEC and bound water content in a composite membranes. The hydroxyl groups are consumed due to the interaction with silica oxides and depleted the crystalline phase of the composites. The tensile strength and modulus of the composite membranes were reduced. The addition of RM improves the thermal stability of the composite membrane and shifts the degradation process to a higher temperature. The RM nanoparticles depleted the hooping sites for methanol transport in the composite membrane and the permeability value reported in the modified membrane was one order lower than the Nafion (N117) membrane. The proton conductivity of the composite membranes are obtained by fitting the EIS data in an equivalent circuit model. The composite membrane provides higher proton conductivity at reduced relative humidity conditions and the proton transport was governed by Grotthus mechanism. The modified membrane provides the maximum power density of 44mW/cm2 at a current density of 140mA/cm2. The durability test was conducted at a current density of 0.15 Acm2 and 70°C for 144h to evaluate fuel cell performance and voltage decay. The durability study confirms that the modified membrane provides higher cell stability with marginal drop in cell voltage (1.76%). The reduction of methanol cross-over and the enhancement of membrane selectivity increases power density of the direct methanol fuel cell.
{"title":"Preparation and characterization of Red Mud modified Chitosan-PVA composite membrane for direct methanol fuel cell","authors":"Rabiranjan Murmu, Debashis Roy, Sarat Chandra Patra, H. Sutar, Bishnu Choudhary","doi":"10.1115/1.4055693","DOIUrl":"https://doi.org/10.1115/1.4055693","url":null,"abstract":"\u0000 A novel cost effective Chitosan-PVA-Red Mud (RM) hybrid membranes are developed and their morphological and physiochemical properties are studied. The addition of RM enhanced IEC and bound water content in a composite membranes. The hydroxyl groups are consumed due to the interaction with silica oxides and depleted the crystalline phase of the composites. The tensile strength and modulus of the composite membranes were reduced. The addition of RM improves the thermal stability of the composite membrane and shifts the degradation process to a higher temperature. The RM nanoparticles depleted the hooping sites for methanol transport in the composite membrane and the permeability value reported in the modified membrane was one order lower than the Nafion (N117) membrane. The proton conductivity of the composite membranes are obtained by fitting the EIS data in an equivalent circuit model. The composite membrane provides higher proton conductivity at reduced relative humidity conditions and the proton transport was governed by Grotthus mechanism. The modified membrane provides the maximum power density of 44mW/cm2 at a current density of 140mA/cm2. The durability test was conducted at a current density of 0.15 Acm2 and 70°C for 144h to evaluate fuel cell performance and voltage decay. The durability study confirms that the modified membrane provides higher cell stability with marginal drop in cell voltage (1.76%). The reduction of methanol cross-over and the enhancement of membrane selectivity increases power density of the direct methanol fuel cell.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43360968","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, Chengcheng Tao, Shaojin Wang, Ruhang Zhang, Aina Tian, Jiuchun Jiang
Due to the frequent occurrence of electric vehicles safety accidents caused by battery system failures, in order to ensure the normal operation of the vehicle, it is crucial to do fault diagnosis of the electric vehicle lithium battery. This paper presents a fault diagnosis method for lithium batteries based on optimal variational modal decomposition and dimensionless feature parameters for identifying faulty batteries. The method firstly preprocesses the voltage signal of lithium battery by optimal variable mode decomposition to obtain the high and low frequency components of the signal, and reconstructs the high and low frequency components. Then the dimensionless feature parameters are extracted according to the reconstructed signal and feature reduction of the dimensionless feature parameters is carried out by a local linear embedding algorithm. Finally, a local outlier factor algorithm is used to detect faulty batteries. After verified by the operation data before the real electric vehicles thermal runaway failure, this method can detect the faulty battery timely and accurately.
{"title":"A fault diagnosis method for lithium batteries based on optimal variational modal decomposition and dimensionless feature parameters","authors":"C. Chang, Chengcheng Tao, Shaojin Wang, Ruhang Zhang, Aina Tian, Jiuchun Jiang","doi":"10.1115/1.4055536","DOIUrl":"https://doi.org/10.1115/1.4055536","url":null,"abstract":"\u0000 Due to the frequent occurrence of electric vehicles safety accidents caused by battery system failures, in order to ensure the normal operation of the vehicle, it is crucial to do fault diagnosis of the electric vehicle lithium battery. This paper presents a fault diagnosis method for lithium batteries based on optimal variational modal decomposition and dimensionless feature parameters for identifying faulty batteries. The method firstly preprocesses the voltage signal of lithium battery by optimal variable mode decomposition to obtain the high and low frequency components of the signal, and reconstructs the high and low frequency components. Then the dimensionless feature parameters are extracted according to the reconstructed signal and feature reduction of the dimensionless feature parameters is carried out by a local linear embedding algorithm. Finally, a local outlier factor algorithm is used to detect faulty batteries. After verified by the operation data before the real electric vehicles thermal runaway failure, this method can detect the faulty battery timely and accurately.","PeriodicalId":15579,"journal":{"name":"Journal of Electrochemical Energy Conversion and Storage","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45472398","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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