A study on mode switching smoothly on hybrid electric vehicle based on CVT

Author(s):  
Jun Zhang ◽  
Wei Huang ◽  
Yunshan Zhou ◽  
Chenglong Cao
2012 ◽  
Vol 6 (1) ◽  
pp. 489-493
Author(s):  
Zeng Xiaohua ◽  
Wang Qingnian ◽  
Su Tianchen ◽  
Jixin Wang ◽  
Ying Zhang

2021 ◽  
Vol 11 (4) ◽  
pp. 1846
Author(s):  
Yanzhao Su ◽  
Minghui Hu ◽  
Jin Huang ◽  
Ling Su ◽  
Datong Qin

Experimental research is essential in the development of a hybrid electric vehicle. In this study, a bench test was conducted for a compound power-split hybrid electric vehicle (PSHEV) to analyze the real dynamic characteristics of its components and the factors of system shock and vibration during the engine start-up process. Firstly, the mode switching process with an engine start-up was divided into four stages by the lever method. The basic control strategy of mode switching with engine start-up was formulated and tested on a bench test platform. Secondly, based on the bench test data, the output characteristics of the battery motor, engine, and driveshaft were analyzed in detail. The main variable parameters of the engine control unit were investigated in the engine start-up process. Ultimately, the results showed that the engine’s pulsating torque was the main reason for system jerk and vibration during the engine start-up process, and the excessive intake manifold pressure before the engine’s ignition was one of the main reasons for the large output torque ripple. When initiating the electric engine starting process, the jerk and vibration presented a wide fluctuation. The maximum value of the equivalent jerk was 92.12 m/s3, and the maximum value of the absolute value of the vibration acceleration was 4.077 m/s2.


Author(s):  
Wei Du ◽  
Shengdun Zhao ◽  
Liying Jin ◽  
Jinzhou Gao ◽  
Hao Li

Multi-mode hybrid electric vehicle is considered as the best hybrid power solution because it has many operational modes and can achieve a wider and more efficient transmission range. But at the same time, it also brings some problems, such as the choice of operational mode. At present, the most commonly used mode-switching strategy is rule-based control strategy, but it needs to determine the logical threshold value of each control variable in advance. Usually these values are determined by experience, but cannot guarantee that the value obtained is the optimal solution. This paper combines the improved NSGA_II algorithm with the rule-based control strategy and optimizes the logic threshold value by using the improved NSGA_II algorithm to get the optimal logic threshold value. Combining the optimized rule-based control strategy with the minimum equivalent fuel consumption strategy, a real-time control strategy for multi-mode hybrid electric vehicle is proposed. The advantages of the proposed control strategy are proved by an example.


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