Abstract
In this paper, the dynamic programming algorithm is applied to the control strategy design of parallel hybrid electric vehicles. Based on MATLAB/Simulink software, the key component model and controller model of the parallel hybrid system are established, and an offline simulation platform is built. Based on the platform, the global optimal control strategy based on the dynamic programming algorithm is studied. The torque distribution rules and shifting rules are analyzed, and the optimal control strategy is adopted to design the control strategy, which effectively improves the fuel economy of plug-in hybrid electric vehicles. The fuel consumption rate of this parallel hybrid electric vehicle is based on china city bus cycle (CCBC) condition.
Highlights
In order to solve the increasingly serious problems of energy shortages and environmental pollution, new energy vehicles have received extensive attention and rapid development due to their good economy, low emissions, and long driving range
Hybrid vehicles are characterized by coordinated participation of electric drive system, allowing engine control to operate in high-efficiency, low-pollution areas, improving fuel economy and reducing emission [1]
This paper only considers the fuel economy and power of the hybrid system under one cycle condition, the cycle time lasts for a few minutes
Summary
In order to solve the increasingly serious problems of energy shortages and environmental pollution, new energy vehicles have received extensive attention and rapid development due to their good economy, low emissions, and long driving range. In order to achieve the best power distribution, Faras et al [16] developed a dynamic and efficient energy management system that uses a weighted improved dynamic programming algorithm for pre-driving offline optimization and a PID controller for online optimization. In this method, the weight is included in the fitness function, which improves the convergence speed in the long continuous driving cycle. Moura et al [17] studied the optimal drive power demand allocation problem between different actuators (engine and motor) in a plug-in hybrid vehicle using stochastic dynamic programming to optimize the energy management strategy of the hybrid system. This paper adopts the model-based controller development process and the research method of V-type development to realize the development of and research on the energy management strategy of parallel plug-in hybrid electric vehicles
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