Application of State Transition Energy Management Control Algorithm in Fuel Cell

Autor: Qihong Xiao, Zheng Pan, Yangliang Chen
Rok vydání: 2021
Předmět:
Zdroj: Distributed Generation & Alternative Energy Journal.
ISSN: 2156-6550
2156-3306
Popis: 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%.
Databáze: OpenAIRE