基于工况预测的复合储能系统功率分配策略研究*

doi:10.19562/j.chinasae.qcgc.2019.011.004

Abstract

Abstract: In this paper, an adaptive neural fuzzy control power splitting strategy for hybrid energy storage system is proposed based on driving condition prediction. Markov chain model is adopted to predict the future driving conditions of vehicle, the vehicle speed predicted is used as one of the inputs of adaptive neural fuzzy controller, and the processing by which will get the results of power splitting. The results of experiment show that the adoption of proposed power splitting strategy with adaptive neural fuzzy control for hybrid energy storage system can significantly extend the service life of battery and reduce the overall operation cost of energy storage system.

Key words: hybrid energy storage system, driving condition prediction, adaptive neural fuzzy control, power splitting strategy

Wang Feng, Luo Yutao. A Research on Power Splitting Strategy for Hybrid Energy Storage System Based on Driving Condition Prediction[J].Automotive Engineering, 2019, 41(11): 1251-1257.

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A Research on Power Splitting Strategy for Hybrid Energy Storage System Based on Driving Condition Prediction

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