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A Hybrid Electric Vehicle Coordination Control Strategy Based on Arithmetic Optimization Algorithm (AOA)

  • Wenhui Shi
  • , Lijin Han*
  • , Ke Chen
  • , Xuan Zhou
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Inner Mongolia First Machinery Group Corporation Inner Mongolia

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

Abstract

Hybrid electric truck have attracted attention due to their low fuel consumption and high maneuverability. To further improve its performance, energy management strategies are widely used to optimize power source operating points and ranges. However, most of the existing strategies focus on steady-state conditions, ignoring the risk of control error and power overload caused by dynamic characteristics. To solve the problem of DC bus voltage stability of hybrid electric vehicles, this paper presents an online engine-generator coordinated control strategy based on arithmetic optimization algorithm (AOA). Based on the energy management strategy, the strategy optimizes the control quantity of engine speed and generator torque in real time through AOA to minimize voltage fluctuation and engine speed fluctuation, so as to improve the control quality of the system dynamic process and ensure the stability of the vehicle during driving. The simulation results show that the coordinated control strategy based on AOA can effectively stabilize the bus voltage, which provides a new idea for the coordinated control of hybrid electric vehicles.

Original languageEnglish
Title of host publication2024 6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2117-2123
Number of pages7
ISBN (Electronic)9798331507138
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024 - Hybrid, Guangzhou, China
Duration: 6 Dec 20248 Dec 2024

Publication series

Name2024 6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024

Conference

Conference6th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2024
Country/TerritoryChina
CityHybrid, Guangzhou
Period6/12/248/12/24

Keywords

  • arithmetic optimization algorithm (AOA)
  • coordinated control strategy
  • hybrid electric vehicle

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