A Combined Cooperative Braking Model with a Predictive Control Strategy in an Electric Vehicle

Hongqiang Guo, Hongwen He and Fengchun Sun
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Hongqiang Guo: National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Hongwen He: National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Fengchun Sun: National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China

Energies, 2013, vol. 6, issue 12, 1-21

Abstract: Cooperative braking with regenerative braking and mechanical braking plays an important role in electric vehicles for energy-saving control. Based on the parallel and the series cooperative braking models, a combined model with a predictive control strategy to get a better cooperative braking performance is presented. The balance problem between the maximum regenerative energy recovery efficiency and the optimum braking stability is solved through an off-line process optimization stream with the collaborative optimization algorithm (CO). To carry out the process optimization stream, the optimal Latin hypercube design (Opt LHD) is presented to discrete the continuous design space. To solve the poor real-time problem of the optimization, a high-precision predictive model based on the off-line optimization data of the combined model is built, and a predictive control strategy is proposed and verified through simulation. The simulation results demonstrate that the predictive control strategy and the combined model are reasonable and effective.

Keywords: electric vehicles; cooperative braking; combined model; collaborative optimization algorithm; predictive control strategy (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: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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