Global Optimization-Based Energy Management Strategy for Series–Parallel Hybrid Electric Vehicles Using Multi-objective Optimization Algorithm-Reference-Cited by-同舟云学术

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Global Optimization-Based Energy Management Strategy for Series–Parallel Hybrid Electric Vehicles Using Multi-objective Optimization Algorithm

Published:2023-04-24 Issue:3 Volume:6 Page:492-507
ISSN:2096-4250
Container-title:Automotive Innovation
language:en
Short-container-title:Automot. Innov.

Author:

Zhao Kegang,He Kunyang,Liang Zhihao,Mai Maoyu

Funder

Natural Science Foundation of Guangdong Province

Guangdong Provincial Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42154-023-00225-4.pdf

Reference43 articles.

1. Song, Z., Hou, J., Hofmann, H., et al.: Sliding-mode and Lyapunov function-based control for battery/supercapacitor hybrid energy storage system used in electric vehicles. Energy 122, 601–612 (2017)

2. Pascali, L., Biral, F., Onori, S.: Aging-aware optimal energy management control for a parallel hybrid vehicle based on electrochemical-degradation dynamics. IEEE Trans. on Veh. Technol. 69(10), 10868–10878 (2020)

3. Martinez, C., Hu, X., Cao, D., et al.: Energy management in plug-in hybrid electric vehicles: recent progress and a connected vehicles perspective. IEEE Trans. Veh. Technol. 66(6), 4534–4549 (2017)

4. Yang, J., Xu, X., Peng, Y., et al.: Modeling and optimal energy management strategy for a catenary-battery-ultracapacitor based hybrid tramway. Energy 183, 1123–1135 (2019)

5. Cairano, S., Liang, W., Kolmanovsky, I., et al.: Power smoothing energy management and its application to a series hybrid powertrain. IEEE Trans. Control Syst. Technol. 21(6), 2091–2103 (2013)

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