Hybrid electric vehicle reinforcement learning energy management control method
A technology of hybrid electric vehicles and enhanced learning, which is applied in hybrid electric vehicles, motor vehicles, transportation and packaging, etc., can solve the problems of small battery capacity decline and low fuel consumption, and achieve the optimization of vehicle economy, simplification of calculations, The effect of battery capacity decline optimization
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[0052] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0053] like figure 1 As shown, the present invention provides a hybrid electric vehicle enhanced learning energy management control method that takes into account battery life and economy, and uses the equivalent fuel consumption minimum strategy and enhanced learning algorithm to optimize the control of battery degradation and vehicle equivalent fuel consumption. In order to achieve the best economic performance of the vehicle, the specific steps are as follows:
[0054] Step S1, collecting vehicle status and battery status data;
[0055] The vehicle state data includes: vehicle speed, required power, engine speed and motor speed, and the battery state data includes: battery current, voltage, temperature and SOC.
[0056] Step S2, establishing a hybrid vehicle ICE (Internal Combustion Engine) model, an EM (Electric Motor) model and a t...
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