E-COSM 2021 Paper Abstract

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Paper MoBT3.3

Cui, Wei (Shandong University), Cui, Naxin (Shandong Univ), Du, Yi (Shandong University), Shi, Yuemei (Shandong University), Li, Tao (Shandong University)

Hierarchical Energy Management Strategy for Hybrid Electric Vehicle under Connective Scenarios

Scheduled for presentation during the Invited session "Special session on benchmark challenging (1)" (MoBT3), Monday, August 23, 2021, 17:10−17:30, 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 March 28, 2024

Keywords Hybrid and Electric Vehicles, Energy Management, Powertrain Control

Abstract

The development of connected vehicle technology presents opportunity for hybrid electric vehicle (HEV) to further improve its energy efficiency. Within this horizon, the energy management strategy (EMS) considering connective information is an enabling technology. In this paper, a hierarchical EMS combining velocity planning and power split management is proposed for HEV under connective scenarios. Particularly, the driving route is separated into several segments, and the length of single segment is adaptively adjusted according to the possibility pre-judgment for preceding vehicle crossing the upcoming intersection. Furthermore, the velocity trajectory is optimized by incorporating the preceding vehicle pre-judgment and traffic information with dynamic programming. The equivalent consumption minimization strategy (ECMS) is used to realize the power split optimal distribution in lower level. Finally, the simulation results demonstrate the effectiveness of proposed method.

 

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