Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle

Guoqiang Ao, H. Zhong, L. Yang, J. Qiang, B. Zhuo
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引用次数: 4

Abstract

A turbocharged diesel engine dominated integrated starter generator (ISG) hybrid electric vehicle (HEV) is proposed. In order to achieve good fuel economy and low emissions performance, a cost function which is the function of fuel economy and emissions is defined and the optimal operation line (OOL) of engine is determined through selecting the minimal value of the cost function. The baseline based fuzzy logic control strategy (BL-FLC) presented here can optimize both the fuel economy and emissions by making this compress-ignition direct-injection (CIDI) engine work at or near its OOL all the time. Also, a baseline control strategy is presented with simulation results. Compared with baseline control strategy, the BL-FLC presented in this paper can obtain 11.7% decrease in fuel consumption on the given drive cycle without sacrificing dynamic performance
基于模糊逻辑的ISG混合动力汽车控制
提出了一种以涡轮增压柴油机为主的综合起动发电机(ISG)混合动力汽车。为了获得良好的燃油经济性和低排放性能,定义了燃油经济性和排放的成本函数,并通过选择成本函数的最小值来确定发动机的最优运行线(OOL)。本文提出的基于基线的模糊逻辑控制策略(BL-FLC)可以使压缩点火直喷发动机始终工作在或接近其OOL状态,从而实现燃油经济性和排放的优化。并结合仿真结果提出了一种基线控制策略。与基线控制策略相比,本文所提出的BL-FLC在不牺牲动态性能的情况下,在给定的驱动循环内油耗降低了11.7%
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