141
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Multi-objective optimization of safety, comfort and economy of hybrid electric vehicle in car-following scenario

, , &
Pages 1060-1071 | Received 29 Mar 2023, Accepted 03 Jul 2023, Published online: 10 Jul 2023

References

  • Akhegaonkar, S., L. Nouvelière, S. Glaser, and F. Holzmann. 2018. Smart and green ACC: Energy and safety optimization strategies for EVs. IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (1):142–53. doi:10.1109/TSMC.2016.2600273.
  • Climent, H., B. Pla, P. Bares, and V. Pandey. 2021. Exploiting driving history for optimising the energy management in plug-in hybrid electric vehicles. Energy Conversion and Management 234:113919. doi:10.1016/j.enconman.2021.113919.
  • Du, A., Y. Han, Z. Zhu, and C. Chu 2022. Multi-objective optimization of safety, comfort and economy of hybrid electric vehicle in car-following scenario. Available at SSRN: https://ssrn.com/abstract=4143119.
  • East, S., and M. Cannon. 2020. Energy management in plug-in hybrid electric vehicles: Convex optimization algorithms for model predictive control. Ieee Transactions on Control Systems Technology 28 (6):2191–203. doi:10.1109/TCST.2019.2933793.
  • Guo, L., X. Zhang, Y. Zou, N. Guo, L. Jianwei, and D. Guodong. 2021. Cost-optimal energy management strategy for plug-in hybrid electric vehicles with variable horizon speed prediction and adaptive state-of-charge reference. Energy 232:120993. doi:10.1016/j.energy.2021.120993.
  • Haseltalab, A., F. Wani, and R. R. Negenborn. 2022. Multi-level model predictive control for all-electric ships with hybrid power generation. International Journal of Electrical Power & Energy Systems 135:107484. doi:10.1016/j.ijepes.2021.107484.
  • He, H. W., Y. L. Wang, J. W. Li, J. W. Dou, R. Z. Lian, and Y. C. Li. 2021. An improved energy management strategy for hybrid electric vehicles integrating multistates of vehicle-traffic information. IEEE Transactions on Transportation Electrification 7 (3):1161–72. doi:10.1109/TTE.2021.3054896.
  • Houshmand, A., C. G. Cassandras, N. Zhou, N. Hashemi, B. Q. Li, and H. E. Peng. 2022. Combined eco-routing and power-train control of plug-in hybrid electric vehicles in transportation networks. IEEE Transactions on Intelligent Transportation Systems 23 (8):11287–300. doi:10.1109/TITS.2021.3102496.
  • Hu, X., X. Zhang, X. Tang, and X. Lin. 2020. Model predictive control of hybrid electric vehicles for fuel economy, emission reductions, and inter-vehicle safety in car-following scenarios. Energy 196:117101. doi:10.1016/j.energy.2020.117101.
  • Lian, R. Z., J. K. Peng, Y. K. Wu, H. C. Tan, and H. L. Zhang. 2020. Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle. Energy 197:117297. doi:10.1016/j.energy.2020.117297.
  • Li, P., X. Jiao, and L. Yang. 2021. Adaptive real-time energy management control strategy based on fuzzy inference system for plug-in hybrid electric vehicles. Control Engineering Practice 107:104703. doi:10.1016/j.conengprac.2020.104703.
  • Liu, B. H., L. Li, X. Y. Wang, and S. Cheng. 2018. Hybrid electric vehicle downshifting strategy based on stochastic dynamic programming during regenerative braking process. IEEE Transactions on Vehicular Technology 67 (6):4716–27. doi:10.1109/Tvt.2018.2815518.
  • Li, L., X. Y. Wang, and J. Song. 2017. Fuel consumption optimization for smart hybrid electric vehicle during a car-following process. Mechanical Systems and Signal Processing 87:17–29. doi:10.1016/j.ymssp.2016.03.002.
  • Li, L., S. X. You, and C. Yang. 2016. Multi-objective stochastic MPC-Based system control architecture for plug-in hybrid electric buses. IEEE Transactions on Industrial Electronics 63 (8):4752–63. doi:10.1109/TIE.2016.2547359.
  • Machlev, R., N. Zargari, N. R. Chowdhury, J. Belikov, and Y. Levron. 2020. A review of optimal control methods for energy storage systems - energy trading, energy balancing and electric vehicles. Journal of Energy Storage 32:101787. doi:10.1016/j.est.2020.101787.
  • Min, D., Z. Song, H. Chen, T. Wang, and T. Zhang. 2022. Genetic algorithm optimized neural network based fuel cell hybrid electric vehicle energy management strategy under start-stop condition. Applied Energy 306:118036. doi:10.1016/j.apenergy.2021.118036.
  • Peng, J., H. Hongwen, and R. Xiong. 2017. Rule based energy management strategy for a series-parallel plug-in hybrid electric bus optimized by dynamic programming. Applied Energy 185:1633–43. doi:10.1016/j.apenergy.2015.12.031.
  • Pozzato, G., M. Müller, S. Formentin, and S. M. Savaresi. 2020. Economic MPC for online least costly energy management of hybrid electric vehicles. Control Engineering Practice 102:104534. doi:10.1016/j.conengprac.2020.104534.
  • Sun, C., F. Sun, and H. Hongwen. 2017. Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles. Applied Energy 185:1644–53. doi:10.1016/j.apenergy.2016.02.026.
  • Wang, W. D., X. H. Guo, C. Yang, Y. B. Zhang, Y. L. Zhao, D. G. Huang, and C. L. Xiang. 2022. A multi-objective optimization energy management strategy for power split HEV based on velocity prediction. Energy 238:238. doi:10.1016/j.energy.2021.121714.
  • Xie, S., H. Xiaosong, Z. Xin, and J. Brighton. 2019. Pontryagin’s minimum principle based model predictive control of energy management for a plug-in hybrid electric bus. Applied Energy 236:893–905. doi:10.1016/j.apenergy.2018.12.032.
  • Yang, C., M. Wang, W. Wang, Z. Pu, and M. Ma. 2021. An efficient vehicle-following predictive energy management strategy for PHEV based on improved sequential quadratic programming algorithm. Energy 219:119595. doi:10.1016/j.energy.2020.119595.
  • Yang, C., M. Zha, W. Wang, K. Liu, and C. Xiang. 2020. Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: Review and recent advances under intelligent transportation system. Intelligent Transport Systems 14 (7):702–11. doi:10.1049/iet-its.2019.0606.
  • Zhang, Y. J., C. F. Wei, Y. G. Liu, Z. Chen, Z. R. Hou, and N. Xu. 2021. A novel optimal power management strategy for plug-in hybrid electric vehicle with improved adaptability to traffic conditions. Journal of Power Sources 489:489. doi:10.1016/j.jpowsour.2021.229512.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.