基于电机控制算法的功率分流混合动力汽车引擎优化研究

Research on optimization of power shunt hybrid electric vehicle engine based on motor control algorithm

针对功率分流混合动力汽车的引擎优化问题,文中提出了一种基础电机的控制算法。首先提出了功率分流传动的一般状态方程,并且使用动力学方程确定发动机与电机的转矩和速度之间的关系。控制算法被设计为使得其可以控制MG1和MG2的转矩,以使得发动机能够在最佳工作线上操作。在验证中,使用两个行星齿轮、离合器和制动器来设计双模式动力分流HEV实验台。使用MG1、MG2、用于模拟发动机的电机和电池的PWM转换器进行实验。结果证实,发动机可以在使用本研究中提出的MG1和MG2转矩控制算法的最佳工作线附近运行。

Aiming at the engine optimization problem of power shunt hybrid electric vehicle, this paper presents a control algorithm of basic motor. In this paper, we first propose the general state equation of the power shunt drive and use the kinetic equation to determine the relationship between the torque and velocity of the engine and the motor. The control algorithm is designed such that it can control the torque of MG1 and MG2 so that the engine can operate on the best working line. In the verification, two planetary gears, clutches and brakes were used to design the dual-mode power shunt HEV test bed. The experiments were carried out using MGI, MG2, a motor for simulating the engine and a PWM converter for analogue batteries. The results confirm that the engine can run near the best working line using the MG1 and MG2 torque control algorithms proposed in this study.