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Torque distribution strategies for energy-efficient electric vehicles with multiple drivetrains
journal contribution
posted on 2023-06-09, 17:20 authored by B Lenzo, G De Filippis, Arash Moradinegade DizqahArash Moradinegade Dizqah, A Sorniotti, P Gruber, S Fallah, W De NijsThe paper discusses novel computationally efficient torque distribution strategies for electric vehicles with individually controlled drivetrains, aimed at minimizing the overall power losses while providing the required level of wheel torque and yaw moment. Analytical solutions of the torque control allocation problem are derived and effects of load transfers due to driving/braking and cornering are studied and discussed in detail. Influences of different drivetrain characteristics on the front and rear axles are described. The results of an analytically derived algorithm are contrasted with those from two other control allocation strategies, based on the offline numerical solution of more detailed formulations of the control allocation problem (i.e., a multiparametric nonlinear programming (mp-NLP) problem). The control allocation algorithms are experimentally validated with an electric vehicle with four identical drivetrains along multiple driving cycles and in steady-state cornering. The experiments show that the computationally efficient algorithms represent a very good compromise between low energy consumption and controller complexity.
History
Publication status
- Published
Journal
Journal of Dynamic Systems, Measurement and ControlISSN
0022-0434Publisher
American Society of Mechanical EngineersExternal DOI
Issue
12Volume
139Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Dynamics, Control and Vehicle Research Group Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2019-03-21First Compliant Deposit (FCD) Date
2019-03-20Usage metrics
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