RESEARCH ON PROGRESSIVE SORTING METHOD OF RETIRED POWER BATTERY BASED ON RISK DEFENSE

Yan Ning; Zhong Yao; Li Xiangjun; Wu Zhongli

doi:10.19912/j.0254-0096.tynxb.2022-0628

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (5) : 525-532. DOI: 10.19912/j.0254-0096.tynxb.2022-0628

RESEARCH ON PROGRESSIVE SORTING METHOD OF RETIRED POWER BATTERY BASED ON RISK DEFENSE

Yan Ning¹, Zhong Yao¹, Li Xiangjun², Wu Zhongli¹

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Abstract

Aiming at the problems of inconsistent initial characteristic parameters of retired power batteries and reduced safety and stability in the process of cascade utilization, a progressive sorting method of retired power batteries based on risk defense is proposed. Firstly, the retired power batteries′"gray box" data of electric vehicles is extracted, and the remaining capacity, internal resistance and terminal voltage are selected as sorting parameters, and the improved K-means algorithm is used to extract the initial clustering data of retired power battery parameters. Secondly, the characteristics of the state of charge （SOC） and state of health （SOH） of the retired power battery during the cascade utilization process are estimated, and the relationship between the three parameters is characterized by the state of function （SOF）. Finally, the SOF dynamic safety margin of the risk defense reservation system is considered to reduce the impact of the initial characteristic defects of retired power batteries on echelon utilization and reorganization. Simulation analysis shows that the proposed sorting method improves the consistency of retired power batteries and effectively reduces the life loss of the reorganization system.

Key words

retired power battery / risk defense / progressive sorting / SOF / safety margin

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Yan Ning, Zhong Yao, Li Xiangjun, Wu Zhongli. RESEARCH ON PROGRESSIVE SORTING METHOD OF RETIRED POWER BATTERY BASED ON RISK DEFENSE[J]. Acta Energiae Solaris Sinica. 2022, 43(5): 525-532 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0628

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