Optimal energy management strategy based on neural network algorithm for fuel cell hybrid vehicle considering fuel cell lifetime and fuel consumption
Author:
Funder
National Natural Science Foundation of China
International Science and Technology Cooperation Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00500-024-09883-w.pdf
Reference59 articles.
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3. Ansarey M, Panahi MS, Ziarati H, Mahjoob M (2014) Optimal energy management in a dual-storage fuel-cell hybrid vehicle using multi-dimensional dynamic programming. J Power Sour 250:359–371
4. Armghan H, Ahmad I, Ali N, Munir MF, Khan S, Armghan A (2018) Nonlinear controller analysis of fuel cell-battery-ultracapacitor-based hybrid energy storage systems in electric vehicles. Arab J Sci Eng 43(6):3123–3133
5. Chen Z, Mi CC, Jun X, Gong X, You C (2014) Energy management for a power-split plug-in hybrid electric vehicle based on dynamic programming and neural networks. IEEE Trans Veh Technol 63:1567–1580
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