Scipediacontent: Scipediacontent moved page Draft Content 671122422 to Wilhelm et al 2013a

2021-02-03T15:51:04Z

Scipediacontent moved page Draft Content 671122422 to Wilhelm et al 2013a

Scipediacontent: Created page with " == 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, su..."

2021-02-03T15:51:01Z

Created page with " == 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, su..."

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== 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

== Full document ==
<pdf>Media:Draft_Content_671122422-beopen5394-4317-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/wevj6010141 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 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 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://www.mdpi.com/2032-6653/6/1/141/pdf],
: [http://dx.doi.org/10.3390/wevj6010141 http://dx.doi.org/10.3390/wevj6010141] under the license cc-by

* [http://xplorestaging.ieee.org/ielx7/6902670/6914705/06914840.pdf?arnumber=6914840 http://xplorestaging.ieee.org/ielx7/6902670/6914705/06914840.pdf?arnumber=6914840],
: [http://dx.doi.org/10.1109/evs.2013.6914840 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],
: [https://www.mdpi.com/2032-6653/6/1/141/pdf https://www.mdpi.com/2032-6653/6/1/141/pdf],
: [https://academic.microsoft.com/#/detail/2543574978 https://academic.microsoft.com/#/detail/2543574978]

DOIS: 10.1109/evs.2013.6914840 10.3390/wevj6010141

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Wilhelm et al 2013a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 671122422 to Wilhelm et al 2013a

Scipediacontent: Created page with " == 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, su..."