Predictive model for cooperative braking system of electric vehicles

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.