期刊
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
卷 45, 期 12, 页码 17609-17621出版社
WILEY
DOI: 10.1002/er.7042
关键词
coulomb counting method; dischargeable capacity; lithium-ion battery; state of charge; whole life cycle
资金
- China Scholarship Council [201908515099]
- Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province [18kftk03]
- National Natural Science Foundation of China [61801407]
- Sichuan science and technology program [2019YFG0427]
The traditional CC method is no longer suitable for complex working conditions, and the improved method can achieve accurate SOC estimation by considering various influencing factors. Experimental results show that the improved CC method can effectively deal with complex working conditions, and the comprehensive estimation accuracy of SOC is within 3.6%.
Coulomb Counting (CC) method plays an important role in the state of charge (SOC) estimation theory of lithium-ion batteries, and a lot of improvement and optimization strategies are based on it. With the increasing demand for precise management of lithium-ion battery systems, the performance of the traditional CC method is no longer suitable for more complex working conditions. First, the battery aging, extreme temperature, and high-rate discharging were considered as the main influencing factors which limit the SOC estimation accuracy of the CC method, and the performance degradation mechanism of the traditional CC method under the influence of the above factors are experimentally analyzed, especially the change of battery total dischargeable capacity after aging, and the change rules of key parameters in the CC equation are analyzed. Then the initial SOC and the total dischargeable capacity of the CC method are modified and estimated respectively to realize the accurate estimation of SOC under complex working conditions, especially the accurate SOC estimation during the whole life cycle of lithium-ion batteries. The experimental results show that the improved CC method can effectively deal with complex working conditions, and the comprehensive estimation accuracy of SOC is within 3.6%.
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