Research on Dynamic Load Emulation Algorithm for Electric Vehicle Driving Motor Test Bench

He Shang, Qiang Song, Guanfeng Wang

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

Abstract

In the process of developing an electric vehicle test bench, control accuracy is often low due to interference and other factors. To address this problem, this paper proposes a dynamic load emulation algorithm based on dynamic matrix control. Firstly, we create a detailed model of the distributed electric drive system. Then, we analyze the process of dynamic load emulation and propose an algorithm based on dynamic matrix control. Comparative simulations and bench tests are conducted to verify the algorithm. The results demonstrate that the proposed algorithm can achieve hardware-in-loop (HIL) test and improve test accuracy, as intended.

Original languageEnglish
Title of host publicationEighth International Conference on Electromechanical Control Technology and Transportation, ICECTT 2023
EditorsSaid Easa, Wei Wei
PublisherSPIE
ISBN (Electronic)9781510668331
DOIs
Publication statusPublished - 2023
Event8th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2023 - Hangzhou, China
Duration: 19 May 202321 May 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12790
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2023
Country/TerritoryChina
CityHangzhou
Period19/05/2321/05/23

Keywords

  • Dynamic matrix control
  • EV driving motor
  • Hardware in loop test
  • dynamic load

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