电动汽车复合制动预测模型

Predictive model for cooperative braking system of electric vehicles

基于提出的制动强度二次再分数学模型,系统研究了并联复合制动系统预测模型的设计方法。设计了离线优化流程:对由车速v、电池So C及制动强度z构成的连续设计空间进行试验设计(Design of experiments,DOE)。基于DOE采样点,采用协同优化设计方法(CO),通过定义再生制动能量回收和制动稳定性两个子系统,得到离线优化数据,进而建立了制动力分配预测模型。基于预测模型的仿真验证表明:预测模型可实现实时最优控制,可在保证制动稳定性的前提下,最大化回收再生制动能量,具有较大的工程应用价值。

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.