Analysis of Segment Parameters for Different Working Conditions on Mode Switching Control Strategy

Abstract

Due to the requirements of global energy conservation and environmental protection, parallel hybrid electric buses have developed rapidly. The mode switching control strategy has great significance to the stability of the parallel hybrid electric bus. The principle of minimum value has achieved great development in the optimal control of the mode switching for parallel hybrid electric buses. Since the Hamilton function is a complex function of the control variable and the bus should traverse the entire control variable domain when searching for the optimal control variables. Therefore, the control strategy based on the principle of minimum value requires a large amount of computation time. Based on the principle of minimum value, this paper combines the mode switching control strategy with the identification and prediction of working conditions, and establishes a working condition segments library. The influence of segment parameters for different working conditions on mode switching control strategy is analyzed. The analysis results show that the prediction effect is better when the working condition segment size is 30s and the search range is specified as the actual trip time range, and the mileage range has little effect on SOC and fuel consumption.