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并联式混合动力汽车模糊能量管理策略优化

毛建中 张文

可再生能源2018,Vol.36Issue(3):372-379,8.
可再生能源2018,Vol.36Issue(3):372-379,8.

并联式混合动力汽车模糊能量管理策略优化

The optimization of fuzzy energy control strategy for parallel hybrid electric vehicles

毛建中 1张文1

作者信息

  • 1. 湖南大学 湖南省2011绿色汽车协同创新中心,湖南 长沙410082
  • 折叠

摘要

Abstract

In this study, to improve the working efficiency of engine and motor of parallel hybrid electric vehicle,a fuzzy control strategy based on ant colony optimization was designed considering the real-time distribution of the power in motor and engine. The engine working efficiency map to develop fuzzy control rule was developed from the efficiency function fitted from the experimental data of the engine bench performance test. The fuzzy control rule, aiming at improving the engine working efficiency via optimizing fuzzy membership function parameters was developed on the basis of the engine working efficiency map. The fuzzy control strategy was implemented on a PHEV prototype in ADVISOR whose simulation results showed that the optimized fuzzy control strategy could effectively improve the fuel economy and solve the excessive discharge problem of batteries as well as improving the lifespan of battery.

关键词

并联式混合动力汽车/能量管理策略/模糊控制/蚁群算法

Key words

parallel hybrid electric vehicle/energy management strategy/fuzzy control/ant colony algorithm

分类

能源科技

引用本文复制引用

毛建中,张文..并联式混合动力汽车模糊能量管理策略优化[J].可再生能源,2018,36(3):372-379,8.

基金项目

国家科技重大专项(2013ZX06004009). (2013ZX06004009)

可再生能源

OA北大核心CSTPCD

1671-5292

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