Hybrid electric vehicle energy management method considering hydrogen fuel cell performance degradation

Abstract

The application discloses a hybrid electric vehicle energy management method considering hydrogen fuel cell performance degradation and relates to the technical field of automobile power source management. The method comprises the following steps: firstly, acquiring vehicle demand power and lithium battery state of charge, and constructing a hydrogen fuel cell performance degradation cost model; then, adopting a dynamic programming algorithm to globally optimize a preset working condition to obtain an optimal fuel cell output power sequence and form an optimal database. With demand power and state of charge as input and fuel cell output power as output, a clustering method is used to design membership function parameters, a fuzzy rule base is formulated, and each rule is fitted with an output function through linear regression. In runtime, the fuzzy controller calculates the applicable membership of each rule according to the input, obtains an optimal power instruction through weighted average, and realizes hybrid electric vehicle energy management. According to the optimal energy distribution strategy, the application can solve the problem of additional hydrogen consumption caused by hydrogen fuel cell performance degradation loss and reduce the running cost of the whole vehicle.

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