吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (3): 696-702.doi: 10.13229/j.cnki.jdxbgxb201503003

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Predictive model for cooperative braking system of electric vehicles

GUO Hong-qiang, HE Hong-wen, LU Bing   

  1. National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
  • Received:2013-10-09 Online:2015-05-01 Published:2015-05-01

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Abstract: Based the quadratic subdivision mathematical model of the braking severity, a design method of the predictive model for parallel cooperative braking system is investigated systematically. An off-line optimization stream is designed. First, the continuous design space, which is constituted of the vehicle speed v, battery State-of-Charge (SoC) and braking severity z, is sampled by Design of Experiments(DOE);two subsystems of regenerative braking energy and braking stability are defined and optimized by collaborative optimization method(CO) based on the sampling points; finally, the predictive model is established for the cooperative braking system. Simulation results show that the proposed model can realize real-time optimum control and maximize the regenerative braking energy recovery efficiency under the condition of ensuring the braking stability. Accordingly, it has high engineering application value.

Key words: vehicle engineering, cooperative braking, collaborative optimization, predictive model

CLC Number: 

  • U463.51
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