Energy Management Strategy Of Fuel Cell City Buses Based On Driving Intention Recognitio

Hydrogen energy has become an important strategic layout in the global energy field,and fuel cell vehicles have become a key direction for the transformation and development of the automotive industry in the hydrogen energy industry.The proportion of fuel cell city buses in fuel cell vehicles is becoming increasingly heavy.The power system of fuel cell city buses is mostly composed of fuel cells and power batteries,and it is necessary to formulate reasonable energy management strategy to optimize the driving efficiency of the entire vehicle and reduce hydrogen consumption.According to the basic parameters and configuration characteristics of fuel cell city bus,the realization process of the drive motor,power cell,and fuel cell was analyzed using AVL-Cruise software,and the entire vehicle model was built.Based on the demand power of the vehicle and the SOC of the power battery,two energy management strategies,power following and fuzzy control,were constructed.Analysis found that the power following energy management strategy can maintain the SOC of the power battery near the expected value,which helps to improve the service life of the power battery.The fuzzy control energy management strategy can better reduce the change rate of fuel cell output power and the hydrogen consumption of the vehicle.The energy management strategy should be in line with the driver’s driving intention,and the support vector machine model was established to identify the driving intention;To further improve recognition accuracy,grid search method,PSO,and GA were used to optimize the key parameters that affect the recognition accuracy of the support vector machine model.It was found that the optimization parameters obtained by GA resulted in the highest recognition accuracy of the support vector machine.Using the established support vector machine driving intention recognition model,identify the CHTC-B and CCBC operating conditions online,convert the recognition results into the vehicle demand power correction coefficient,and combine it with the two energy management strategies constructed;Introduce smoothness to evaluate the rate of change in the output power of fuel cells.The results show that the designed energy management strategy based on driving intention recognition has a smaller rate of change in fuel cell output power and lower hydrogen consumption compared to traditional energy management strategies,which can effectively improve fuel cell durability and vehicle economy.