Optimization of fuel consumption and NO$$_{{\varvec{x}}}$$ emission for mild HEV via hierarchical model predictive control-Reference-Cited by-同舟云学术

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Optimization of fuel consumption and NO$$_{{\varvec{x}}}$$ emission for mild HEV via hierarchical model predictive control

Published:2022-05 Issue:2 Volume:20 Page:221-234
ISSN:2095-6983
Container-title:Control Theory and Technology
language:en
Short-container-title:Control Theory Technol.

Author:

Umezawa Yuka,Yamauchi Ken,Seto Hiroki,Imamura Toshiro,Namerikawa Toru

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Aerospace Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11768-022-00097-9.pdf

Reference20 articles.

1. Ren, Y., Wu. Z. (2018). Research on the energy management strategy of hybrid vehicle based on Pontryagin’s minimum principle. In International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), pp. 356–361. Hangzhou, China.

2. Wang, W., Jia, S., Xiang, C., Huang, K., & Zhao. Y. (2014). Model predictive control-based controller design for a power-split hybrid electric vehicle. In Proceedings of International Conference on Modelling, Identification Control, pp. 219–224. Melbourne, Australia.

3. H. Li, N. Cui, C. Wang and Y. Du. Energy management strategy of plug-in hybrid electric vehicles considering the temperature effect of power battery. In The 3rd Conference on Vehicle Control and Intelligence (CVCI), 2019. Hefei, China.

4. Zhang, J., & Shen, T. (2016). Real-time fuel economy optimization with nonlinear MPC for PHEVs. IEEE Transactions on Control Systems Technology, 24(6), 2167–2175.

5. East, S., & Cannon, M. (2018). An ADMM algorithm for MPC-based energy management in hybrid electric vehicles with nonlinear losses. In IEEE Conference on Decision and Control (CDC), pp. 2641–2646. Miami, FL, USA.

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