Research on a new power distribution control strategy of hybrid energy storage system for hybrid electric vehicles based on the subtractive clustering and adaptive fuzzy neural network-Reference-Cited by-同舟云学术

Research on a new power distribution control strategy of hybrid energy storage system for hybrid electric vehicles based on the subtractive clustering and adaptive fuzzy neural network

Published:2022-07-29 Issue:6 Volume:25 Page:4413-4422
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Wang Qi^ORCID,Luo Yinsheng

Funder

Changzhou key research plan (Applied Basic Research) project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

https://link.springer.com/content/pdf/10.1007/s10586-022-03687-z.pdf

Reference36 articles.

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2. Gao, J.W., Li, M., Hu, Y.F., Chen, H., et al.: Challenges and developments of automotive fuel cell hybrid power system and control. SCIENCE CHINA Inf. Sci. 62, 51201–51225 (2019)

3. Marx, N., Hissel, D., Gustin, F., Boulon, L., et al.: On the sizing and energy management of an hybrid multistack fuel cell–battery system for automotive applications. Int J Hydrogen Energy. 42, 1518–1526 (2017)

4. Bizon, N.: Real-time optimization strategy for fuel cell hybrid power sources with load-following control of the fuel or air flow. Energy Convers Manage. 157, 13–27 (2018)

5. Tahri, A., Fadil, H.E., Belhaj, F.Z., et al.: Management of fuel cell power and supercapacitor state-of-charge for electric vehicles. Electric Power Syst Res. 160, 89–98 (2018)

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