单轴并联混合动力商用车整车总质量在线估计算法

为解决混合动力商用车自动变速器控制器难以获取整车总质量参数、以优化换挡规律的问题，提出一种单轴并联混合动力商用车整车总质量在线估计算法。分析整车总质量在商用车行驶过程中的参数特性，基于此设置算法边界条件。建立整车纵向动力学模型，分析和研究P2混合动力系统行驶的复杂工况。利用扩展卡尔曼滤波算法对车辆总质量进行在线估计。在Cruies软件环境中搭建整车模型，在Simulink软件环境中搭建算法模型，实现虚拟联合仿真并进行算法的实车验证。仿真与实车试验结果表明，上述算法能有效识别整车总质量，满足车辆的实际控制需求。

An Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle

It is difficult for the automatic transmission controller of hybrid commercial vehicle to measure the total mass to optimize the shifting. An online mass estimation algorithm is proposed for the single-shaft parallel hybrid commercial vehicle. The parameter characteristics of vehicle's total mass during driving is analyzed，based on which the boundary conditions are set. A vehicle longitudinal dynamics model is established, and the working conditions of P2 hybrid system are studied. On this basis，the extended Kalman filter (EKF) algorithm is used to estimate the vehicle's total mass online. Cruise/Simulink co-simulation is realized by combining the vehicle model built in Cruise and the controller strategy model built in Simulink. Simulation tests and real vehicle tests were carried out. The test results show that the proposed algorithm can effectively identify the total mass of vehicle which satisfies the vehicle control requirements.