Real-time electric vehicle mass identification

Abstract

technique capable of identifying electric vehicle (EV) mass in real-time has been a topic of research for several years due to the advantages it presents, such as the ability to dramatically improve range estimates, perform more effective torque vectoring for ABS/ESC, track delivery vehicle weight, etc.. Some crucial issues in mass identification impede an easy implementation of such an algorithm, however, and this work introduces a simple method to calculate EV mass on-the-fly using standard data available on most CAN buses and therefore without the need of additional sensors. The results presented here are achieved using an eight step technique suitable for accurate mass estimations during wide-open-throttle acceleration events. The algorithm’s instantaneous error is less than 10%, and converges to better than 3% absolute accuracy performance with subsequent measurements. A preliminary analysis of trips lacking hard acceleration presented in this paper show an inability to differentiate between loaded and unloaded conditions.

Document type: Article

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/wevj6010141 under the license https://creativecommons.org/licenses/by

• http://www.mdpi.com/2032-6653/6/1/141/pdf under the license http://creativecommons.org/licenses/by/3.0/

• https://www.mdpi.com/2032-6653/6/1/141/pdf under the license cc-by

• http://www.mdpi.com/2032-6653/6/1/141/pdf,

http://dx.doi.org/10.3390/wevj6010141 under the license cc-by

• http://xplorestaging.ieee.org/ielx7/6902670/6914705/06914840.pdf?arnumber=6914840,

http://dx.doi.org/10.1109/evs.2013.6914840 under the license https://creativecommons.org/licenses/by/4.0/

• https://www.mdpi.com/2032-6653/6/1/141,

https://www.mdpi.com/2032-6653/6/1/141/pdf,

https://academic.microsoft.com/#/detail/2543574978

DOIS: 10.1109/evs.2013.6914840 10.3390/wevj6010141