Abstract
Dynamic programming algorithms are widely used in motor vehicle fuelcells, and can help battery energy management control to perform erroranalysis. The paper designs the decision-making process of fuel cell chargeand discharge management based on the state transition energy managementalgorithm, which is used to analyse the cumulative causes of errors andthe corresponding results. The article uses simulation software to simulatethe algorithm proposed in this paper, and finds that the algorithm is anenergy management optimization decision, and the error of the hydrogenconsumption obtained by the algorithm relative to the theoretical optimalhydrogen consumption is less than 0.25%.
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More From: Distributed Generation & Alternative Energy Journal
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