Research on Motor Speed Control Method Based on the Prevention of Vehicle Rollover

Fuhuai Jiang, Mengyuan Dong, Yuezhen Fan and Qingchun Wang
Additional contact information
Fuhuai Jiang: School of Engineering, Beijing Forestry University, Beijing 100083, China
Mengyuan Dong: School of Engineering, Beijing Forestry University, Beijing 100083, China
Yuezhen Fan: School of Engineering, Beijing Forestry University, Beijing 100083, China
Qingchun Wang: School of Engineering, Beijing Forestry University, Beijing 100083, China

Energies, 2022, vol. 15, issue 10, 1-14

Abstract: Vehicle driving safety is an important performance indicator for vehicles, and there is still much room for development in the active safety control of electric vehicles. Vehicles are susceptible to rollover when making sharp turns or overtaking at high speed. In order to improve the anti-rollover stability of electric vehicles (EV), this study proposes a real-time motor control strategy, mainly according to the acquisition of vehicle attitude data and real-time monitoring of the vehicle’s operating state. The lateral load transfer rate was defined as the vehicle rollover evaluation index. When the real-time rollover indicator exceeded the limit safety threshold this article set, the motor speed would be reduced through active control to avoid rollover or reduce the risk of rollover. Both simulation results in Carsim and Simulink showed that the motor control strategy is highly reliable and real-time capable, and the active safety of EV was improved significantly.

Keywords: electric vehicle (EV); active rollover prevention; motor control; active safety (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/10/3609/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/10/3609/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:10:p:3609-:d:815949

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().