Lithium-ion batteries (LIBs) are the heart of electric vehicle because they are the main source of its power transmission. The current scientific challenges include the accurate and robust evaluation of battery state such as the discharging capacity so that the occurrence of unforeseen dire events can be reduced. State-of-the-art technologies focused extensively on evaluating the battery states based on the models, whose measurements rely on determination of parameters such as the voltage, current, and temperature. Experts have well argued that these models have poor accuracy, computationally expensive, and best suited for laboratory conditions. This forms the strong basis of conducting research on identifying and investigating the parameters that can quantify the battery state accurately. The unwanted, irreversible chemical and physical changes in the battery result in loss of active metals (lithium ions). This shall consequently result in decrease of capacity of the battery. Therefore, measuring the stack stress along with temperature of the battery can be related to its discharging capacity. This study proposes the evaluation of battery state of health (SOH) based on the mechanical parameter such as stack stress. The objective of this study will be to establish the fundamentals and the relationship between the battery state, the stack stress, and the temperature. The experiments were designed to validate the fundamentals, and the robust models are formulated using an evolutionary approach of genetic programming (GP). The findings from this study can pave the way for the design of new battery that incorporates the sensors to estimate its state accurately.
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February 2019
Research-Article
A Coupled Mechanical–Electrochemical Study of Li-Ion Battery Based on Genetic Programming and Experimental Validation
Li Shui,
Li Shui
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
Ministry of Education,
Shantou University,
Guangdong 515063, China
Search for other works by this author on:
Xiongbin Peng,
Xiongbin Peng
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
Ministry of Education,
Shantou University,
Guangdong 515063, China
Search for other works by this author on:
Jian Zhang,
Jian Zhang
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
Ministry of Education,
Shantou University,
Guangdong 515063, China
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Akhil Garg,
Akhil Garg
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
e-mail: akhil@stu.edu.cn
Ministry of Education,
Shantou University,
Guangdong 515063, China
e-mail: akhil@stu.edu.cn
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Hoang-do Nguyen,
Hoang-do Nguyen
Applied Physical Chemistry Laboratory,
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
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My Loan Phung Le
My Loan Phung Le
Applied Physical Chemistry Laboratory,
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
Search for other works by this author on:
Li Shui
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
Ministry of Education,
Shantou University,
Guangdong 515063, China
Xiongbin Peng
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
Ministry of Education,
Shantou University,
Guangdong 515063, China
Jian Zhang
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
Ministry of Education,
Shantou University,
Guangdong 515063, China
Akhil Garg
Intelligent Manufacturing Key Laboratory of
Ministry of Education,
Shantou University,
Guangdong 515063, China
e-mail: akhil@stu.edu.cn
Ministry of Education,
Shantou University,
Guangdong 515063, China
e-mail: akhil@stu.edu.cn
Hoang-do Nguyen
Applied Physical Chemistry Laboratory,
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
My Loan Phung Le
Applied Physical Chemistry Laboratory,
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
Department of Physical Chemistry,
Vietnam National University of Ho Chi Minh City
(VNUHCM),
Ho Chi Minh City 700000, Vietnam
1Corresponding author.
Manuscript received February 13, 2018; final manuscript received June 30, 2018; published online August 6, 2018. Assoc. Editor: Partha P. Mukherjee.
J. Electrochem. En. Conv. Stor. Feb 2019, 16(1): 011008 (7 pages)
Published Online: August 6, 2018
Article history
Received:
February 13, 2018
Revised:
June 30, 2018
Citation
Shui, L., Peng, X., Zhang, J., Garg, A., Nguyen, H., and Phung Le, M. L. (August 6, 2018). "A Coupled Mechanical–Electrochemical Study of Li-Ion Battery Based on Genetic Programming and Experimental Validation." ASME. J. Electrochem. En. Conv. Stor. February 2019; 16(1): 011008. https://doi.org/10.1115/1.4040824
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