Abstract
In order to improve the energy efficiency of electric vehicles, a regenerative braking control strategy of electric truck was developed to improve energy recovery based on braking security. After the prerequisites, the restrictions of ECE regulations, battery and motor were completed to ensure the braking security, the regenerative braking force allocation strategy was designed. Then a co-simulation of Cruise and Matlab of this control strategy was executed in Japan1015 operating cycle to evaluate the strategy effects. Simulation results show that the strategy proposed in this paper can recover as much as 11.48 % braking energy in Japan1015 cycle under braking security requirements. So this regenerative braking control strategy can significantly improve the economic performance for electric vehicles.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hellgern J, Jonasson E (2007) Maximisation of brake energy regeneration in a hybrid electric parallel car. J Int J Electr Hybrid Veh 1:95–121
Ko J, Ko S, Son H (2015) Development of brake system and regenerative braking cooperative control algorithm for automatic-transmission-based hybrid electric vehicles. J. IEEE Trans Veh Technol 64:431–440
Junzhi Z, Yutong L, Chen L (2014) New regenerative braking control strategy for rear-driven electrified minivans. J. Energ Convers Manag. 82: 135–145 (in Chinese)
Yimin G, Ehsani M (2001) Electronic braking system of ev and hev-integration of regenerative braking. In: Future transportation technology conference, SAE International, Costa Mesa, pp. 2001–2478
Han J, Park Y (2014) Cooperative regenerative braking control for front-wheel-drive hybrid electric vehicle based on adaptive regenerative brake torque optimization using under-steer index. J Int J Automot Technol 15:989–1000
Hongwei G, Yimin G, Ehsani M (2001) A neural network based srm drive control strategy for regenerative braking in EV and HEV. In: Electric machines and drives conference 2001 (IEMDC 2001), IEEE International, IEEE Press, Cambridge, pp 571–575
Yin G, Jin J (2013) Cooperative control of regenerative braking and antilock braking for a hybrid electric vehicle. J. Math Probl Eng 7:1–9
Maia R, Silva M, Arajo R (2015) Electrical vehicle modeling: a fuzzy logic model for regenerative braking. J. Expert Syst Appl 42:8504–8519
Farhad S, Vahid E, Hassan N (2008) Effect of different regenerative braking strategies on braking performance and fuel economy in a hybrid electric bus employing CRUISE vehicle simulation. In: 2008 SAE International Powertrains, Fuels and Lubricants Congress, Shanghai, pp 2008-01-1561
Acknowledgments
This work has been supported by NSFC (51507013) and Fundamental Research Funds for the Central Universities (310822151025).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Xu, S., Tang, Z., He, Y., Zhao, X. (2017). Regenerative Braking Control Strategy of Electric Truck Based on Braking Security. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-38771-0_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-38771-0_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-38769-7
Online ISBN: 978-3-319-38771-0
eBook Packages: EngineeringEngineering (R0)