An energy-efficient torque-vectoring algorithm for electric vehicles with multiple motors
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9012747_4
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2019.03.012
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 655
- Volume
- 128
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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-
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The computational efficiency of the presented algorithm, together with the excellent performance in terms of energy efficiency and vehicle agility/stability, made the controller particularly attractive to our industrial partners of Elaphe Propulsion Technologies, who funded the activity (their technical director, Tomaz Motaln, can confirm). Further industrial development of this controller is being carried out in the follow-up EVC1000 and SYS2WHEEL H2020 projects, including industrial partners such as AUDI, JAC and Fiat TOFAS, developing their next generation electric vehicle technologies.
- Author contribution statement
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- Non-English
- No
- English abstract
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