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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A New SOC Estimation Algorithm
verfasst von : Weihua Zhong, Fahui Gu, Wenxiang Wang
Erschienen in: Computational Intelligence and Intelligent Systems
Verlag: Springer Singapore
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Abstract
The DE algorithm has strong global search ability and robustness, but also has the shortcoming of slow convergence speed and local search ability is insufficient, and TLBO algorithm has the advantage of strong local search ability and faster convergence speed, but will be fall into the local optimum when dealing with complex problems. In this paper, the DE algorithm and TLBO algorithm are combined to construct a two-population co-evolutionary algorithm based on the DE and TLBO algorithm (DPCEDT). By theory analysis, the proposed DPCEDT algorithm can be used to improve the SOC estimation algorithm of power battery which is an extremely complex problem.