Paper Info
Title
Energy Optimal Control of Motor Drive System for Extending Ranges of Electric Vehicles
Abstract
The short driving range per charge of electric vehicle is a critical shortcoming hindering its popularization and application. This article proposes an in-vehicle energy optimal control (EOC) to improve the efficiency of the motor drive system. This article first builds a vehicle's longitudinal dynamics model and a motor drive system's efficiency model. Then, a Lagrange-Euler-based optimal control theory is formulated with detailed proof. Based on the vehicle dynamics model, a cost function is constructed by considering the energy consumption and speed demand. Combining the cost function and the Lagrange-Euler-based optimal control theory, an in-vehicle EOC is proposed. The idea of the in-vehicle EOC is mainly to make the motor drive system operate in the high efficiency region as much as possible, which results in longer driving ranges. The in-vehicle EOC is validated on a co-simulation platform and the results show it outperforms the model predictive control method.
Year
DOI
Venue
2021
10.1109/TIE.2019.2947841
IEEE Transactions on Industrial Electronics
Keywords
DocType
Volume
Driving range extension,electric vehicles,energy efficiency,motor drive system,optimal control
Journal
68
Issue
ISSN
Citations 
2
0278-0046
2
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Ying Zhang18720.05
Yingjie Zhang263.92
Zhaoyang Ai320.36
Yi Lu Murphey443243.04
Jing Zhang5407.49