Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies

Zoltán Pusztai (), Péter Kőrös, Ferenc Szauter and Ferenc Friedler
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Zoltán Pusztai: Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary
Péter Kőrös: Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary
Ferenc Szauter: Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary
Ferenc Friedler: Vehicle Industry Research Center, Széchenyi István University, 9026 Győr, Hungary

Energies, 2023, vol. 16, issue 6, 1-20

Abstract: In this paper, determination of optimized regenerative braking-torque function and application in energy efficient driving strategies is presented. The study investigates a lightweight electric vehicle developed for the Shell Eco-Marathon. The measurement-based simulation model was implemented in the MATLAB/Simulink environment and used to establish the optimization. The optimization of braking-torque function was performed to maximize the recuperated energy. The determined braking-torque function was applied in a driving strategy optimization framework. The extended driving strategy optimization model is suitable for energy consumption minimization in a designated track. The driving strategy optimization was created for the TT Circuit Assen, where the 2022 Shell Eco-Marathon competition was hosted. The extended optimization resulted in a 2.97% improvement in energy consumption when compared to the result previously achieved, which shows the feasibility of the proposed methodology and optimization model.

Keywords: regenerative braking; optimization; driving strategy; energy efficiency; Shell Eco-Marathon (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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