A Feasible Approach For The Force Control Of Traction Wheels Driven By Electric Motors

DOI10.1002/ASJC.1239zbMath1338.93275OpenAlexW1823419193MaRDI QIDQ2812811

Kuan-Jung Chen, Jieh-Shian Young

Publication date: 13 June 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1239

zbMATH Keywords

slip ratioelectric vehicle (EV)traction controlneural network control synthesis

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Synthesis problems (93B50)

Related Items (1)

Special Issue on “Recent Developments on Modeling and Control of Hybrid Electric Vehicles”

Cites Work

• A robust wheel slip ratio control design combining hydraulic and regenerative braking systems for in-wheel-motors-driven electric vehicles
• A new model for control of systems with friction

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