Model Predictive Control Considering Engine On/Off and Mode Switch for Dual-mode Hybrid Electric Vehicle

Xinghua Guo, Chao Yang, Weida Wang, Mingjun Zha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For dual-mode hybrid electric vehicle (HEV), the design of switch strategy and energy management strategy (EMS) are always independent. However, due to the complex and changeable driving condition hybrid electric vehicle encountering, the vehicle performance, including fuel economy and battery lifetime, will be affected by the inconsistency between the two strategies. It's still open to study how to combine switch strategy with EMS. Aiming at this problem, this paper proposes a model predictive control (MPC) considering engine on/off and mode switch for dual-mode hybrid electric vehicle. Firstly, in order to get the precise input sequence, Back Propagation Neural Network is used to forecast future velocity. Secondly, a cost function, considering engine on/off and mode switch, which is solved with Pontryagin's minimum principle (PMP), is put forward. To avoid frequently mode switch and engine on/off during the process of velocity fluctuation, a smooth method is applied in the prediction domain of MPC. Finally, the proposed EMS is verified in simulation. Simulation results show that this strategy can achieve the desired goals.

Original languageEnglish
Title of host publication2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages714-719
Number of pages6
ISBN (Electronic)9784907764739
Publication statusPublished - 8 Sept 2021
Event60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021 - Tokyo, Japan
Duration: 8 Sept 202110 Sept 2021

Publication series

Name2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021

Conference

Conference60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021
Country/TerritoryJapan
CityTokyo
Period8/09/2110/09/21

Keywords

  • Dual-mode hybrid electric vehicle
  • Energy management strategy
  • Engine on/off and mode switch
  • model predictive control

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