Abstract
With the continuous development of power batteries, their specific energy density, cost and life have been greatly improved, which promotes the promotion and application of electric vehicles and makes them become one of the typical products of future transportation.
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Bibliography
Chen Z, Xiong R, Wang K et al (2015) Optimal energy management strategy of a plug-in hybrid electric vehicle based on a particle swarm optimization algorithm. Energies 8(5):3661–3678
Chen Z, Xiong R, Wang C et al (2017) An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle. Appl Energy 185(2):1663–1672
Deep K, Singh KP, Kansal ML et al (2009) A real coded genetic algorithm for solving integer and mixed integer optimization problems. Appl Math Comput 212(2):505–518
Gu B, Rizzoni G (2006) An adaptive algorithm for hybrid electric vehicle energy management based on driving pattern recognition. In: ASME 2006 international mechanical engineering congress and exposition, vol 13951, pp 49–258
Gurkaynak Y, Khaligh A, Emadi A (2011) Neural adaptive control strategy for hybrid electric vehicles with parallel power train. In: 2010 IEEE vehicle power and propulsion conference. IEEE
Homchaudhuri B, Lin R, Pisu P (2016) Hierarchical control strategies for energy management of connected hybrid electric vehicles in urban roads. Transp Res Part C Emerg Technol 62(JANA):70–86
Jager BD, Steinbuch M, Keulen TV (2008) An adaptive sub-optimal energy management strategy for hybrid drive-trains. IFAC Proc:102–107
Liu Y, Gao J, Qin D et al (2018) Rule-corrected energy management strategy for hybrid electric vehicles based on operation-mode prediction. J Clean Prod 188:796–806
Onori S, Serrao L (2011) On adaptive-ECMS strategies for hybrid electric vehicles. In: Proceedings of the international scientific conference on hybrid and electric vehicles, Malmaison, France, December
Onori S, Serrao L, Rizzoni G (2016) Hybrid electric vehicles: energy management strategies. Encyclopedia of Energy 277(4):197–213
Paganellig, Delprat S, Guerra TM et al (2002) Equivalent consumption minimization strategy for parallel hybrid powertrains. In: IEEE vehicular technology conference. IEEE
Panday A, Bansal HO (2014) A review of optimal energy management strategies for hybrid electric vehicle. Int J Veh Technol:160510
Poursamad A, Montazeri M (2008) Design of genetie-fuzzy control strategy for parallel hybrid electric vehicles. Control Eng Pract 16(7):861–873
Rezaei A, Burl JB, Zhou B (2017a) Estimation of the ECMS equivalent factor bounds for hybrid electric vehicles. IEEE Trans Control Syst Technol
Rezaei A, Burl JB, Zhou B et al (2017b) A new real-time optimal energy management strategy for parallel hybrid electric vehicles. IEEE Trans Control Syst Technol 27(2):830–837
Sabri MFM, Danapalasingam KA, Rahmat MF (2016) A review on hybrid electric vehicles architecture and energy management strategies. Renew Sustain Energy Rev 53:1433–1442
Serrao L, Onori S, Rizzoni G (2009) ECMS as a realization of Pontryagin’s minimum principle for HEV control. In: American control conference. IEEE
Serrao L, Onori S, Rizzoni G (2011) A comparative analysis of energy management strategies for hybrid electric vehicles. J Dyn Syst Meas Control 133(3):1–9
Sun C, Sun F, He H (2016) Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles. Appl Energy 185(2):1644–1653
Takao W, Eiji T, Masaki E et al (2016) High efficiency electromagnetic torque converter for hybrid electric vehicles. SAE Int J Alternative Powertrains 5(2)
Wu J, Zhang CH, Cui NX (2008) PSO algorithm-based parameter optimization for HEV powertrain and its control strategy. Int J Autom Technol 9(1):53–59
Yuping Z, Yang C, Guiyue K et al (2018) Energy management for plug-in hybrid electric vehicle based on adaptive simplified-ECMS. Sustainability 10(6)
Zhang P, Yan F, Du C (2015) A comprehensive analysis of energy management strategies for hybrid electric vehicles based on bibliometrics. Renew Sustain Energy Rev 48:88–104
Zheng C et al (2018) An energy management strategy of hybrid energy storage systems for electric vehicle applications. IEEE Trans Sustain Energy 99
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© 2023 Huazhong University of Science and Technology Press and Springer Nature Singapore Pte Ltd.
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Chen, Y. (2023). Energy Management Strategy Techniques for New Energy Vehicles. In: New Energy Vehicle Powertrain Technologies and Applications. Key Technologies on New Energy Vehicles. Springer, Singapore. https://doi.org/10.1007/978-981-19-9566-8_4
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DOI: https://doi.org/10.1007/978-981-19-9566-8_4
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