Health-Aware Multiobjective Optimal Charging Strategy With Coupled Electrochemical-Thermal-Aging Model for Lithium-Ion Battery

Battery fast charging strategies have gained an increasing interest toward the convenience of battery applications but may unduly degrade or damage the batteries. To harness these competing objectives, including safety, lifespan, and charging time, in this article, we propose a novel health-aware mu...

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Published inIEEE transactions on industrial informatics Vol. 16; no. 5; pp. 3417 - 3429
Main Authors Gao, Yizhao, Zhang, Xi, Guo, Bangjun, Zhu, Chong, Wiedemann, Jochen, Wang, Lin, Cao, Jianhua
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.05.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Aging
Algorithms
Batteries
Battery degradation
Charging
Constraint modelling
Degradation
electrochemical-thermal-aging model
Electrodes
Electrolytes
Health
health-aware optimal charge
Lithium
lithium plating
lithium-ion (Li-ion) battery
Lithium-ion batteries
Mathematical model
multiobjective
Multiple objective analysis
Rechargeable batteries
solid-electrolyte-interphase (SEI) growth
Solids
State variable
temperature rise
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Abstract Battery fast charging strategies have gained an increasing interest toward the convenience of battery applications but may unduly degrade or damage the batteries. To harness these competing objectives, including safety, lifespan, and charging time, in this article, we propose a novel health-aware multiobjective optimal charging strategy to simultaneously shorten the charging time and relieve the battery degradation. The multiobjective optimal charging problem is formulated based on a coupled electrochemical-thermal-aging battery model. Constraints are explicitly imposed on physically meaningful state variables to avoid hazardous operations. Charging duration and battery aging process are well traded-off. Strategies for minimum-time and health-aware fast charging are investigated using different input current bounds, subject to both side reaction and temperature constraints. The experimental results validate that the presented multiobjective health-aware optimal charging algorithm is capable of reducing the charging time from its benchmarks largely without sacrificing the state-of-health of the battery.
AbstractList Battery fast charging strategies have gained an increasing interest toward the convenience of battery applications but may unduly degrade or damage the batteries. To harness these competing objectives, including safety, lifespan, and charging time, in this article, we propose a novel health-aware multiobjective optimal charging strategy to simultaneously shorten the charging time and relieve the battery degradation. The multiobjective optimal charging problem is formulated based on a coupled electrochemical-thermal-aging battery model. Constraints are explicitly imposed on physically meaningful state variables to avoid hazardous operations. Charging duration and battery aging process are well traded-off. Strategies for minimum-time and health-aware fast charging are investigated using different input current bounds, subject to both side reaction and temperature constraints. The experimental results validate that the presented multiobjective health-aware optimal charging algorithm is capable of reducing the charging time from its benchmarks largely without sacrificing the state-of-health of the battery.
Author Cao, Jianhua
Wang, Lin
Zhang, Xi
Gao, Yizhao
Guo, Bangjun
Zhu, Chong
Wiedemann, Jochen
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Snippet Battery fast charging strategies have gained an increasing interest toward the convenience of battery applications but may unduly degrade or damage the...
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SubjectTerms Aging
Algorithms
Batteries
Battery degradation
Charging
Constraint modelling
Degradation
electrochemical-thermal-aging model
Electrodes
Electrolytes
Health
health-aware optimal charge
Lithium
lithium plating
lithium-ion (Li-ion) battery
Lithium-ion batteries
Mathematical model
multiobjective
Multiple objective analysis
Rechargeable batteries
solid-electrolyte-interphase (SEI) growth
Solids
State variable
temperature rise
Title Health-Aware Multiobjective Optimal Charging Strategy With Coupled Electrochemical-Thermal-Aging Model for Lithium-Ion Battery
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Volume 16
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