• DocumentCode
    1787595
  • Title

    Power consumption characterization, modeling and estimation of electric vehicles

  • Author

    Naehyuck Chang ; Donkyu Baek ; Jeongmin Hong

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2014
  • fDate
    2-6 Nov. 2014
  • Firstpage
    175
  • Lastpage
    182
  • Abstract
    Rapid electric vehicle (EV) penetration gives a threatening challenge in electric energy generation. An 1,814 kg curb weight full electric vehicle driving 18,129 km/year consumes electricity energy equivalent to 74% of the total residential electricity use per person in the US. This implies that 27% more nationwide electricity generation is needed when 70% of passenger vehicles are replaced with EVs. This paper is the first step toward systematic EV design-time and runtime optimization. We introduce instantaneous power consumption modeling of an EV by the curb weights, speed, acceleration, road slope, passenger and cargo weights, motor capacity, and so on, as a battery discharge model. The model also considers the onboard charger, regenerative braking and so on, as a battery charge model. To insure model fidelity, we fabricate a lightweight custom EV, perform extensive measurement, and derive model coefficients using multivariable regression analysis. We estimate the EV instantaneous power consumption of a given speed and route profiles and verify the estimation fidelity with a real test run data.
  • Keywords
    battery powered vehicles; optimisation; power consumption; regenerative braking; regression analysis; road vehicles; secondary cells; EV passenger; battery charge model; battery discharge model; electric energy generation; electric vehicle driving; electric vehicle penetration; instantaneous power consumption model; multivariable regression analysis; onboard charger; regenerative braking; residential electricity; runtime optimization; systematic EV instantaneous power consumption; Batteries; Electricity; Petroleum; Power demand; Power generation; Traction motors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2014 IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/ICCAD.2014.7001349
  • Filename
    7001349