Abstract
The development of a proper energy management strategy in hybrid electric vehicles is crucial to pursue the best balance between emissions reduction and performance. In this respect, this paper addresses a straightforward method to investigate the behaviour of the hybrid powertrain in steady-state operation in terms of speeds and torques both of the thermal engine and the electric machines. The procedure takes into account the conversion power losses in the internal combustion engine and the electric unit and the mechanical power losses occurring in the power-split transmission. This enables the calculation of a set of maps describing the global efficiency of the hybrid powertrain and the power supplied or gathered by the batteries, which can be exploited in the implementation of a proper control strategy. The proposed approach is based on a unified parametric model that enables a comprehensive analysis of any power-split transmission.
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References
Mi, C., Masrur, M.A.: Hybrid Electric Vehicles, Principles and Applications with Practical Perspectives, 2nd edn. Wiley, Hoboken (2017)
Zhuang, W., et al.: A survey of powertrain configuration studies on hybrid electric vehicles. Appl. Energy 262, 114553 (2020)
Singh, K.V., Bansal, H.O., Singh, D.: A comprehensive review on hybrid electric vehicles: architectures and components. J. Mod. Transp. 27(2), 77–107 (2019). https://doi.org/10.1007/s40534-019-0184-3
Cammalleri, M., Sorge, F.: Approximate closed-form solutions for the shift mechanics of rubber belt variators. In: 2009 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2009, vol. 6, pp. 187–196 (2009). https://doi.org/10.1115/DETC2009-86638
Zhang, F., Wang, L., Coskun, S., Pang, H., Cui, Y., Xi, J.: Energy management strategies for hybrid electric vehicles: review, classification, comparison, and outlook. Energies 13(13), 1–35 (2020)
Zhang, P., Yan, F., Du, C.: A comprehensive analysis of energy management strategies for hybrid electric vehicles based on bibliometrics. Renew. Sustain. Energy Rev. 48(205), 88–104 (2015)
Panday, A., Bansal, H.O.: A review of optimal energy management strategies for hybrid electric vehicle. Int. J. Veh. Technol. 2014, 160510 (2014)
Cammalleri, M., Rotella, D.: Functional design of power-split CVTs: an uncoupled hierarchical optimized model. Mech. Mach. Theory 116, 294–309 (2017)
Rotella, D., Cammalleri, M.: Direct analysis of power-split CVTs: a unified method. Mech. Mach. Theory 121, 116–127 (2018)
Rotella, D., Cammalleri, M.: Power losses in power-split CVTs: a fast black-box approximate method. Mech. Mach. Theory 128, 528–543 (2018)
Cammalleri, M., Castellano, A.: Analysis of hybrid vehicle transmissions with any number of modes and planetary gearing: kinematics, power flows, mechanical power losses. Mech. Mach. Theory 162, 104350 (2021)
Rotella, D., Cammalleri, M., Qin, D., Zhou, X.: A simple method for the design of hybrid electric power-split CVTs: a case study. In: Carbone, G., Gasparetto, A. (eds.) IFToMM ITALY 2018. MMS, vol. 68, pp. 70–79. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-03320-0_8
Banvait, H., Anwar, S., Chen, Y.: A rule-based energy management strategy for plug-in hybrid electric vehicle (PHEV). In: 2009 American Control Conference, pp. 3938–3943 (2009)
Ahn, K., Cho, S., Cha, S.W., Lee, J.M.: Engine operation for the planetary gear hybrid powertrain. Proc. Inst. Mech. Eng. Part D J. Automob. Eng. 220(12), 1727–1735 (2006)
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Castellano, A., Cammalleri, M. (2022). Global Efficiency of Power-Split Hybrid Electric Powertrain. In: Quaglia, G., Gasparetto, A., Petuya, V., Carbone, G. (eds) Proceedings of I4SDG Workshop 2021. I4SDG 2021. Mechanisms and Machine Science, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-030-87383-7_54
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DOI: https://doi.org/10.1007/978-3-030-87383-7_54
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