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Aging of nickel-cobalt-aluminum lithium-ion battery in different SOC intervals |
Qing-wei ZHU1( ),Qi-chao WU2,Yi-dan XU2,Xiao-li YU2,3,Rui HUANG2,3,*( ) |
1. Polytechnic Institute, Zhejiang University, Hangzhou 310015, China 2. College of Energy Engineering, Zhejiang University, Hangzhou 310027, China 3. Key Laboratory of Automotive Intelligent Thermal Management Science and Technology of Zhejiang Province, Taizhou 317200, China |
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Abstract Nickel-cobalt-aluminum lithium-ion battery was used as the research object in order to analyze the influence of SOC cycle interval on battery aging. The law of capacity decline and internal resistance growth of batteries in different single SOC cycle intervals was explored through cycle aging and performance test experiments, and the aging mechanism of batteries was analyzed by using differential voltage method. A battery aging prediction model was established combined with Bayesian optimization and long-short-term memory network. The influence of the change forms of the two SOC intervals and the cycle order of the SOC intervals on the rule of battery capacity decline was analyzed according to the experimental results of the battery in different variable SOC cycle intervals. Results show that when the SOC cycle interval remains unchanged, the wider the SOC cycle interval is, the faster the aging speed of the battery is. The cyclable lithium-ion loss is the main cause of battery aging, and the established capacity decline prediction model has high accuracy. The aging law of the battery will significantly change in the short term after the SOC cycle interval changes. When the battery ages in different SOC cycle interval sequences, even if the two intervals experience the same number of cycles, the aging degree of the battery is not the same.
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Received: 15 November 2022
Published: 21 April 2023
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Fund: 浙江省自然科学基金资助项目(LQ20E060008);能源清洁利用国家重点实验室开放基金资助项目(ZJUCEU2022016) |
Corresponding Authors:
Rui HUANG
E-mail: qwzhu@zju.edu.cn;hrss@zju.edu.cn
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镍钴铝锂离子电池在不同SOC区间的老化
为了探明SOC循环区间对电池老化的影响,采用镍钴铝锂离子电池为研究对象,通过循环老化与性能测试实验探究电池在不同的单SOC循环区间上的容量衰退与内阻增长的规律,采用差分电压法分析电池的老化机理. 结合贝叶斯优化和长短期记忆网络,建立电池老化预测模型. 根据电池在不同的变SOC循环区间工况上的实验结果,分析前、后2个SOC区间的变化方式以及SOC区间的循环顺序对电池容量衰退规律的影响. 结果表明,在SOC循环区间不变时,区间的宽度越大电池的老化速度越快,可循环锂离子损失是导致电池老化的主要原因,所建立的容量衰退预测模型具有较高的精度. 在SOC循环区间发生改变后电池的老化规律在短期内会发生明显的变化,当电池按照不同的SOC循环区间顺序老化时,即使在2个区间上经历相同的循环次数,电池的老化程度也不同.
关键词:
镍钴铝锂离子电池,
循环老化,
SOC区间形式,
老化模型,
老化机理
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