E-COSM 2021 Paper Abstract

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Paper MoBT3.2

Hou, Shengyan (Jilin University), Yin, Hai (Jilin University), Ma, Yan (JiLin University), Gao, Jinwu (Jilin University)

Energy Management Strategy of Hybrid Electric Vehicle Based on ECMS in Intelligent Transportation Environment

Scheduled for presentation during the Invited session "Special session on benchmark challenging (1)" (MoBT3), Monday, August 23, 2021, 16:50−17:10, Room T3

6th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, August 23-25, 2021, Tokyo, Japan

This information is tentative and subject to change. Compiled on April 25, 2024

Keywords Energy Management, Hybrid and Electric Vehicles, Powertrain Simulation

Abstract

The energy management strategy is the key to distribute the energy required by the vehicle between the engine, generator and the motor. Meanwhile, the economy and dynamic of hybrid electric vehicles are closely related to the energy management strategy. However, the uncertainty and disturbance of actual driving conditions greatly increase the difficulty of designing the energy management strategy. In addition, the popularization of intelligent transportation system and intelligent connected vehicles has brought new opportunities and challenges to the study of energy management strategies for hybrid electric vehicles. In this context, aiming to solve the E-COSM 2021 Benchmark Challenge, this paper takes single-row planetary gear hybrid electric vehicles as the research object, and aims to improve the fuel economy of PHEVs, and carries out research on the topic of energy management strategy of hybrid electric vehicles based on the equivalent consumption minimum strategy.

 

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