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
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.
Qing-wei ZHU,Qi-chao WU,Yi-dan XU,Xiao-li YU,Rui HUANG. Aging of nickel-cobalt-aluminum lithium-ion battery in different SOC intervals. Journal of ZheJiang University (Engineering Science), 2023, 57(4): 666-674.
Fig.1Experiment platform of cycle aging and performance test of batteries
区间宽度
区间
下限为0
上限为100%
25%
（0，25%）
（75%，100%）
50%
（0，50%）
（50%，100%）
60%
（0，60%）
（40%，100%）
75%
（0，75%）
（25%，100%）
100%
（0，100%）
（0，100%）
Tab.2Table of intervals when SOC cycle interval does not change
序号
循环区间1
循环区间2
1
（0，50%）
（0，100%）
2
（0，50%）
（50%，100%）
3
（50%，100%）
（0，100%）
4
（50%，100%）
（0，50%）
5
（0，100%）
（50%，100%）
6
（0，100%）
（0，50%）
Tab.3Table of intervals when SOC cycle interval changes
Fig.2Capacity decline curve of battery aging in single SOC cycle interval
Fig.3Internal resistance change curve of battery aging in single SOC cycle interval
Fig.4Differential voltage curve during battery aging
Fig.5Material loss curve of battery aging in single SOC cycle interval
Fig.6Training results of prediction model of capacity decline
Fig.7Verification results of prediction model of capacity decline
Fig.8Capacity curve of battery as it ages first in same SOC cycle interval
Fig.9Capacity curve of battery as it ages first in different SOC cycle interval
Fig.10Capacity curve when SOC interval sequence of battery cycle is reversed
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