To solve the problem that energy management strategy based on optimization in fuel cell hybrid electric buses is difficult to apply to real life vehicles

an energy management strategy based on SOM-K-means driving condition identification is proposed with reference to the analysis of the fixedness and fragmentation of the fuel cell bus (FCHB) driving route. Firstly

the driving route is divided into driving segments according to bus stops. When the vehicle stops

the SOM-K-means second-order clustering model is used to identify the driving condition

and obtain the predictive co-state of the next driving segment. When the vehicle runs in the next driving segment

a predictive co-state is used to complete the real-time application of the minimum fuel equivalent fuel consumption strategy based on the PMP solution. Secondly

the simulation experiments based on the actual driving data of the bus are established. Finally

the proposed strategy is applied to the vehicle control unit (VCU). The results show that compared with the rule-based strategy

the proposed strategy reduces hydrogen consumption by 19.77%. The calculation time of each step in the VCU is about 30 ms

and the calculation results prove to be completely consistent with the simulation results

meeting the requirements of vehicle for the timeliness and accuracy of energy management strategy.