Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage

Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage

With the intensification of energy crisis, considerable attention has been paid to the application and research of lithium-ion batteries. A significant progress has also been made in the research of lithium-ion battery capacity evaluation using electrochemical and electrical parameters. In this stud...

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Main Authors: Liu Yun, Biranchi Panda, Liang Gao, Akhil Garg, Xu Meijuan, Dezhi Chen, Chin-Tsan Wang
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/8165164
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spelling doaj-be61fff58e8d4acbbf5adbcb33a8ca692020-11-24T21:47:11ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/81651648165164Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit VoltageLiu Yun0Biranchi Panda1Liang Gao2Akhil Garg3Xu Meijuan4Dezhi Chen5Chin-Tsan Wang6Intelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Guangdong, ChinaDepartment of Mechanical Engineering, Universidade de Lisboa Instituto Superior Tecnico, PortugalState Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, ChinaIntelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Guangdong, ChinaDepartment of Civil Engineering and Architecture, Guangxi University, Guangxi, ChinaIntelligent Manufacturing Key Laboratory of Ministry of Education, Shantou University, Guangdong, ChinaDepartment of Mechanical and Electro-Mechanical Engineering, National I-Lan University, ILan, TaiwanWith the intensification of energy crisis, considerable attention has been paid to the application and research of lithium-ion batteries. A significant progress has also been made in the research of lithium-ion battery capacity evaluation using electrochemical and electrical parameters. In this study, the effect of mechanical characteristic parameter (i.e., stack stress) on battery capacity is investigated using the experimental combined numerical approach. The objective of the proposed approach is to evaluate the capacity based on the initial applied stress, the real-time stress, charging open circuit voltage, and discharging open circuit voltage. Experiments were designed and the data is fed into evolutionary approach of genetic programming. Based on analysis, the accuracy of the proposed GP model is fairly high while the maximum percentage of error is about 5%. In addition, a negative correlation exists between the initial stress and battery capacity while the capacity increases with real-time stress.http://dx.doi.org/10.1155/2018/8165164
collection DOAJ
language English
format Article
sources DOAJ
author Liu Yun
Biranchi Panda
Liang Gao
Akhil Garg
Xu Meijuan
Dezhi Chen
Chin-Tsan Wang
spellingShingle Liu Yun
Biranchi Panda
Liang Gao
Akhil Garg
Xu Meijuan
Dezhi Chen
Chin-Tsan Wang
Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage
Mathematical Problems in Engineering
author_facet Liu Yun
Biranchi Panda
Liang Gao
Akhil Garg
Xu Meijuan
Dezhi Chen
Chin-Tsan Wang
author_sort Liu Yun
title Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage
title_short Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage
title_full Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage
title_fullStr Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage
title_full_unstemmed Experimental Combined Numerical Approach for Evaluation of Battery Capacity Based on the Initial Applied Stress, the Real-Time Stress, Charging Open Circuit Voltage, and Discharging Open Circuit Voltage
title_sort experimental combined numerical approach for evaluation of battery capacity based on the initial applied stress, the real-time stress, charging open circuit voltage, and discharging open circuit voltage
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description With the intensification of energy crisis, considerable attention has been paid to the application and research of lithium-ion batteries. A significant progress has also been made in the research of lithium-ion battery capacity evaluation using electrochemical and electrical parameters. In this study, the effect of mechanical characteristic parameter (i.e., stack stress) on battery capacity is investigated using the experimental combined numerical approach. The objective of the proposed approach is to evaluate the capacity based on the initial applied stress, the real-time stress, charging open circuit voltage, and discharging open circuit voltage. Experiments were designed and the data is fed into evolutionary approach of genetic programming. Based on analysis, the accuracy of the proposed GP model is fairly high while the maximum percentage of error is about 5%. In addition, a negative correlation exists between the initial stress and battery capacity while the capacity increases with real-time stress.
url http://dx.doi.org/10.1155/2018/8165164
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