Energy management of a dual-motor driven city bus based on reformed dynamic programming

Wenwei Wang; Hong Pan; Lin Cheng

doi:10.1051/e3sconf/202123602020

All issues

Volume 236 (2021)

E3S Web Conf., 236 (2021) 02020

References

Open Access

Issue		E3S Web Conf. Volume 236, 2021 3^rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)


Article Number		02020
Number of page(s)		6
Section		New Energy Technology and Clean Energy Production and Transformation
DOI		https://doi.org/10.1051/e3sconf/202123602020
Published online		09 February 2021

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[1] Zhao M, Shi J, et al. Application-oriented optimal shift schedule extraction for a dual-motor electric bus with automated manual transmission[J]. Energies, 2018, 11(2):325. [CrossRef] [PubMed] [Google Scholar]

[2] Wirasingha SG, Emadi A. Classification and review of control strategies for plug-in hybrid electric vehicles[J]. IEEE Transactions on Vehicular Technology, 2011, 60:111-22. [Google Scholar]

[3] Padmarajan B V, Mcgordon A, et al. Blended rulebased energy management for phev: system structure and strategy[J]. IEEE Transactions on Vehicular Technology, 2016, 65(10):8757-8762. [Google Scholar]

[4] Di Cairano S, Bernardini D, et al. Stochastic mpc with learning for driver-predictive vehicle control and its application to hev energy management[J]. IEEE Transactions on Control Systems Technology, 2014, 22(3):1018-1031. [Google Scholar]

[5] Liu H, Han L, et al. Markov velocity predictor and radial basis function neural network based real-time energy management strategy for plug-in hybrid electric vehicles[J]. Energy, 2018, 152(Jun.1):427-444. [Google Scholar]

[6] Peng J, He H, et al. Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming[J]. Applied Energy, 2017, 185:1633-1643. [Google Scholar]

[7] Shen W, Yu H, et al. Optimization of shift schedule for hybrid electric vehicle with automated manual transmission[J]. Energies, 2016, 9(3):220. [Google Scholar]