Abstract
Hybrid electric vehicles (HEVs) are considered an anticipated mainstream mobility choice of the future automotive market, and various studies have been carried out to save energy in such vehicles. However, most of the current driving management strategies only take energy economy into consideration, without any optimization for vibration control. As a result, the strategies applied on HEVs today do not offer the most comfortable driving experience to passengers. Hence, this chapter developed vibration control and applied it in energy consumption optimization. A multi-objective optimal problem was defined and solved with combined vibration control and energy management. Numerical simulations demonstrate that vehicle vibration performance is greatly improved at a cost of limited extra energy consumption.
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
Kim, J., Kang, J., Choi, W., Park, J., Byun, S., ..., Kim, H.: Control algorithm for a power split type hybrid electric vehicle. In SPEEDAM 2010, pp. 1575–1580. IEEE (2006)
Chen, Z., Mi, C.C.: An adaptive online energy management controller for power-split HEV based on dynamic programming and fuzzy logic. In 2009 IEEE Vehicle Power and Propulsion Conference, pp. 335–339. IEEE (2009)
Panday, A., Bansal, H.O.: A review of optimal energy management strategies for hybrid electric vehicle. Int. J. Vehic. Technol. 2014, (2014)
Doughty, S.: Transfer matrix eigensolutions for damped torsional systems. J. Vib. Acoust. Stress. Reliab. Des. 107(1), 128–132 (1985)
Wakabayashi, K., Honda, Y., Kodama, T., Shimoyamada, K., Iwamoto, S.: The effect of typical torsional viscous-friction damper on the reduction of vibrations in the three dimensional space of diesel engine shaftings. SAE Trans. 1852–1872 (1993)
Prokhorov, D.V.: Toyota Prius HEV neurocontrol and diagnostics. Neural Netw. 21(2–3), 458–465 (2008)
Li, L., Wang, X.: Fuel consumption optimization for smart hybrid electric vehicle during a car-following process. Mech. Syst. Signal Process. 87, 17–29 (2017)
Hu, X., Murgovski, N., Johannesson, L., Egardt, B.: Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes. Appl. Energy. 111, 1001–1009 (2013)
Sciarretta, A., Serrao, L., Dewangan, P. C., Tona, P., Bergshoeff, E. N. D., Bordons, C., . & Hubacher, M. A control benchmark on the energy management of a plug-in hybrid electric vehicle. Control. Eng. Pract., 29, 287–298 (2014)
Liu, J., Peng, H., Filipi, Z.: Modeling and analysis of the Toyota hybrid system. J. Perform. Constr. Facil. 23(6), 399–405 (2005)
Kim, N., Cha, S.: Optimal control of hybrid electric vehicles based on Pontryagin’s minimum principal. IEEE Trans. Veh. Technol. 19(5), 1279–1287 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Wei, Y., Wang, Y., Hou, Z. (2021). Optimization on Energy Management Strategy with Vibration Control for Hybrid Vehicles. In: Oberst, S., Halkon, B., Ji, J., Brown, T. (eds) Vibration Engineering for a Sustainable Future. Springer, Cham. https://doi.org/10.1007/978-3-030-47618-2_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-47618-2_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-47617-5
Online ISBN: 978-3-030-47618-2
eBook Packages: EngineeringEngineering (R0)