汽车工程

汽车工程 ›› 2019, Vol. 41 ›› Issue (11): 1251-1257.doi: 10.19562/j.chinasae.qcgc.2019.011.004

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基于工况预测的复合储能系统功率分配策略研究*

王峰, 罗玉涛   

  1. 华南理工大学机械与汽车工程学院,广州 510641
  • 收稿日期:2018-09-06 出版日期:2019-11-25 发布日期:2019-11-28
  • 通讯作者: 罗玉涛,教授,博士,E-mail:ctytluo@scut.edu.cn
  • 基金资助:
    广东省科技计划项目(2016B010132001)资助

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

Wang Feng, Luo Yutao   

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641
  • Received:2018-09-06 Online:2019-11-25 Published:2019-11-28

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摘要： 本文中提出了一种基于工况预测的复合储能系统自适应神经模糊功率分配策略,采用马尔可夫链模型对汽车未来的运行工况进行预测,得到的车速预测结果,作为自适应神经模糊控制器的一个输入,经自适应神经模糊控制器处理后得到功率分配值。实验结果表明,采用自适应神经模糊控制的复合储能系统功率分配策略可明显提升电池寿命,降低综合使用成本。

关键词: 复合储能系统, 工况预测, 自适应神经模糊控制, 功率分配策略

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