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Analytical Approach for the Power Management of Blended Mode PHEV

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Vehicle Power Management

Part of the book series: Power Systems ((POWSYS))

Abstract

The analytical approach can take on the responsibility of minimizing fuel consumption of the HEV and plug-in hybrid electric vehicle (PHEV) through optimal analytical solutions. This chapter analyzes a parallel PHEV with detailed specifications for fuel rate modeling at the beginning. Then based on this mathematical model, the simplified and unified analytical power solutions to the optimization problem (minimizing fuel consumption) are derived. The results show that the fuel economy can be improved definitely for HEVs and PHEVs at the optimal power solutions. This strategy guarantees the optimal solutions for constant battery energy which is the only discussed operation strategy in this chapter since it’s more efficient than the constant engine power strategy.

Portion of the material in this section are from B. Zhang, M. Zhang, and Chris Mi, “Charge-Depleting Control Strategies and Fuel Optimization of Blended-Mode Plug-In Hybrid Electric Vehicles’”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 60, NO. 4, MAY 2011 and M. Zhang, Y. Yang, and Chris Mi “Analytic system optimization and test verification for an idealized parallel ICE-electric Powertrain”, Submitted to IEEE Transactions on Vehicular Technology. © [2011], with permission, from IEEE.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Rd., Dearborn, MI, USA

    Xi Zhang & Chris Mi

Authors
  1. Xi Zhang
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  2. Chris Mi
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Correspondence to Chris Mi .

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© 2011 Springer-Verlag London Limited

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Zhang, X., Mi, C. (2011). Analytical Approach for the Power Management of Blended Mode PHEV. In: Vehicle Power Management. Power Systems. Springer, London. https://doi.org/10.1007/978-0-85729-736-5_4

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  • DOI: https://doi.org/10.1007/978-0-85729-736-5_4

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-735-8

  • Online ISBN: 978-0-85729-736-5

  • eBook Packages: EngineeringEngineering (R0)

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