Energy Management Method Of Multiple Power Sources Electric Vehicle Based On Equivalent Hydrogen Consumption Minimum Strategy

As the main energy source,fuel cell has the advantages of high energy conversion efficiency,no pollution and low noise.It can overcome the shortcomings of soft output characteristics,slow dynamic response and unable to recover regenerative braking energy of fuel cell.It has a wide application prospect in the field of new energy vehicles.Considering power allocation problem in the driving process of fuel cell hybrid electric vehicle,through analyzing the dynamic characteristics of energy sources,a hierarchical energy management strategy based on fuzzy control and equivalent consumption minimum strategy,an equivalent consumption minimum strategy based on condition identification and an equivalent consumption minimum strategy based on speed prediction are designed.The main contents are as follows.Firstly,a hierarchical energy management strategy is designed based on the fuzzy control and equivalent consumption minimum strategy.In the upper energy management,in order to maintain the consistency of the state of charge of the battery and supercapacitor,the variable equivalent factor is designed according to the penalty function of the state of charge of the battery and supercapacitor,and the minimum strategy of equivalent hydrogen consumption is adopted to obtain the optimal output power of the fuel cell;in the lower energy management,the fuzzy control strategy is designed according to the characteristics of the high power density of the supercapacitor,achieve the power distribution of battery and super capacitor.Secondly,the energy management strategy of FCHEV with minimum equivalent hydrogen consumption based on condition identification is designed.The 16 kinds of standard working conditions in advisor are clustered and analyzed.The representative characteristic parameters are selected and divided into five kinds of typical working conditions.The data of the sample library is used as the training sample of the neural network working condition recognizer.The online working condition recognizer is trained and the equivalent factors are adjusted adaptively.The upper layer adopts the minimum control strategy of equivalent hydrogen consumption,and the lower layer adopts the strategy of super electricity promotion With the help of low-pass filter,the system can improve the adaptability of fuel cell hybrid system and realize the power distribution of battery and super capacitor.Thirdly,an energy management strategy of FCHEV with minimum equivalent hydrogen consumption based on speed prediction is designed.By using the sliding window algorithm to summarize the historical speed,the speed state transition probability matrix predicted by the nearest neighbor is obtained.Combined with the online condition identifier,the variable equivalent factor is adjusted to further improve the quality of the energy management strategy and the fuel cell hybrid vehicle’s pre knowledge of the working condition,so as to achieve the three energy source power distribution.Finally,the simulation results show that the three energy management strategies ensure the reasonable distribution of energy and the vehicle power,and reduce the hydrogen energy consumption.Among them,in the hierarchical energy management strategy of fuzzy control and equivalent hydrogen consumption minimum,the fuel economy and supercapacitor utilization rate are improved,the battery life is extended,and the state of charge consistency is guaranteed of battery and supercapacitor;in the minimum energy management strategy of equivalent hydrogen consumption based on condition identification,the adaptability of FCHEV condition is improved,and the role of supercapacitor to actively assume peak power is improved;in the equivalent hydrogen consumption minimum energy management strategy of based on speed prediction,the predictability of energy management strategy to condition is further improved,and the energy management system quality is improved.