摘要
针对燃料电池混合动力汽车(FCHEV)能量管理策略进行了研究,对燃料电池汽车的能量管理控制策略进行了梳理和分类。从基于规则和基于优化这两个角度将控制策略进行了横向分类,再将规则型和优化型控制策略做了纵向梳理。具体介绍了模糊控制、神经网络、动态规划、庞特里亚金极值原理与等效消耗最小原理等的具体应用。分析比较了不同优化算法的优劣势,并对之后控制策略的研究方向提出了建议。
The energy management strategy of fuel cell hybrid vehicle(FCHEV) was studied, and the energy management control strategy of fuel cell vehicle was sorted and classified. The control strategy is horizontally classified from the perspectives of rules-based and optimization-based, and the rule-based and optimization-based control strategies are then longitudinally classified. The specific applications of fuzzy control, neural network, dynamic programming, Pontryagin’s minimum principle and equivalent consumption minimum principle are introduced in detail. The advantages and disadvantages of different optimization algorithms are analyzed and compared. Some suggestions for the future research directions of control strategies are put forward.
作者
倪如尧
刘金玲
许思传
Ni Ruyao;Liu Jinling;Xu Sichuan(Clean Energy Automotive Engineering Center,Tongji University,Shanghai 201804;School of Automotive Studies,Tongji University,Shanghai 201804)
出处
《汽车实用技术》
2019年第1期34-38,共5页
Automobile Applied Technology
关键词
燃料电池汽车
能量管理控制策略
优化算法
规则型控制策略
优化型控制策略
fuel cell vehicle
energy management control strategy
optimization algorithm
rule-based control stra-tegy
optimization-based control strategy
