Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Genetic-Fuzzy Control Strategy

Plug-in hybrid electric vehicles (PHEVs) provide us with a good way to solve the problems involving powertrain efficiency and pollution. The energy managements (EMs) of PHEVs is a main point which attracts a lot of research interests. In this paper, the genetic algorithm is used to optimize the performance of fuzzy logic control of EMs. The study mainly focuses on the control of several factors about the torque distribution and SOC maintaining to reduce emission of harmful gases like CO, NO, and HC. In the simulation, the control system model is built based on Matlab/Simulink platform, and the result shows that the 100-Kilometer Fuel Consumption and the CO emission are reduced by 5.07% and 6.31% respectively after utilizing the genetic algorithm to optimize the fuzzy logic control strategy.