Open AccessLongitudinal Driving Force Distribution of Four In-wheel Motors Drive Electric Vehicle Based on Fuzzy Logic
Author(s) -
Yongqiang Zhao,
Jun Li,
Chang Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2216/1/012007
Subject(s) - fuzzy logic , control theory (sociology) , stability (learning theory) , process (computing) , electric vehicle , function (biology) , electronic stability control , computer science , control (management) , fuzzy control system , engineering , automotive engineering , physics , artificial intelligence , power (physics) , quantum mechanics , machine learning , evolutionary biology , biology , operating system
In order to improve the vehicle economy, this paper establishes the drive system efficiency optimization objective function and vehicle longitudinal driving constraints, design the drive system efficiency optimization control algorithm based on tolerance. Then establish the objective function of longitudinal adhesion coefficient utilization optimization algorithm, complete the development of longitudinal adhesion coefficient utilization optimization control algorithm to improve the vehicle stability. In order to give consideration to the economy and stability of vehicle longitudinal driving, the switching logic of longitudinal driving force distribution algorithm is designed. Fuzzy control is used in the switching logic to realize the smooth switching of longitudinal driving force in the transition process, and realize the optimal distribution of longitudinal driving force. Finally, compare the simulation to the typical control algorithm under multiple working conditions to comfirm the actively effect of the control algorithm.