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V2X Based Cooperative Motion Control and Energy Management for Electronic Vehicles

delete2023-10-10
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PRE
AI
J
Jiahang Li *
陈彩莲 (Cailian Chen)
F
Fengkun Gao
杨波 (Bo Yang)
关新平 (Xinping Guan)
DOI:10.1109/VTC2023-Fall60731.2023.10333660delete
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Abstract

Abstract

En 中文
V2X communication is a key technology for intelligent transportation system to improve traffic safety and efficiency. Electric vehicles can reduce greenhouse gas emissions and fossil fuel dependence, but they face challenges such as limited driving range, high battery cost, and long charging time. This paper proposes a V2X communication assisted hierarchical cooperative control strategy for EVs that aims at improving driving performance and energy efficiency. The upper layer uses improved model predictive control (MPC) method for cooperative motion control. A mechanism is designed for V2X communication loss in the algorithm. The lower layer employs a hybrid energy storage system for powertrain management. The algorithm in the lower layer uses the predictive information from the upper layer to enhance the powertrain efficiency and prolong the battery life. The proposed strategy is simulated using a Prescan-Carsim simulation platform. The results demonstrate that the proposed method can improve the battery lifetime over 13% compared with baseline method.
Keywords:
Electric vehicle
model predictive control
hierarchical strategy
vehicle-to-everything communication

Journal

I
IEEE Vehicular Technology Conference
IF:
0
Papers:
123
Citations:
0

Organization

S
shanghai jiao tong university
Scholars:
15.1W
Papers: 11.5W
Citations: 159
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