Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer
Qicheng Xue,
Xin Zhang,
Hongwei Chen,
Meiling Yue,
Teng Teng,
Jiangbin Yu
Affiliations
Qicheng Xue
Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China
Xin Zhang
Corresponding author. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China.; Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China
Hongwei Chen
Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China
Meiling Yue
Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China
Teng Teng
Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China
Jiangbin Yu
Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China
The hybrid power system with dual motors and multiple clutches experiences significant torque fluctuation during mode switching process due to the different torque response characteristics of the motor and engine. To address this issue, this paper focuses on the estimation of clutch friction torque and the development of dynamic coordinated control strategies for the components. Firstly, based on the dynamic model of the novel dual-motor hybrid electric vehicle, a torque observer based on the Kalman filter algorithm is developed to predict the friction torque generated in the clutch sliding friction stage. Secondly, the control strategies are developed for the mode switching process from single-motor to dual-motor and from dual-motor to parallel drive on a co-simulation platform. Thirdly, a power level Hardware-In-the-Loop test platform is built, and the performance of the designed control strategies is verified by the HIL platform. The results show that for the mode switching process from dual-motor to parallel drive, compared with the control strategy using the engine target speed, the control strategy based on engine idle speed proposed in this paper reduces the clutch sliding friction work and the maximum longitudinal jerk of the vehicle by 42.5% and 25.4%, respectively.
