Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle

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 nearits 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.

Fuel economy and NOx emission potential investigation and trade-off of a hybrid electric vehicle based on dynamic programming

“…The second type is an intelligent-based control strategy for estimation and control algorithm, such as rulebased fuzzy logic and artificial neural network control strategy. In these intelligent control strategies, experts' knowledge is coded in the form of rules and decisions are made to split the power requests between the ICE and the electric motor based on engineering intuition [6,[8][9][10].…”