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Simulation of battery energy consumption in an electric car with traction and HVAC model for a given source and destination for reducing the range anxiety of the driver

Author

Listed:
  • Hariharan, C.
  • Gunadevan, D.
  • Arun Prakash, S.
  • Latha, K.
  • Antony Aroul Raj, V.
  • Velraj, R.

Abstract

Due to depletion and price hike of fossil fuel, most of the developing and developed countries are shifting to Electric vehicles. The major problem faced by the electric vehicle drivers is the range anxiety for battery charging. For predicting the battery range of electric vehicle, a systematic simulation of both traction and HVAC power consumption is required. In this work, a simulation model has been created in MATLAB to calculate the energy required for traction and HVAC system of the vehicle for a selected source and destination by considering heat entry, orientation and location of the electric vehicle. By using transient simulation model, electrical energy requirement of the vehicle for the trip is calculated and quantified for the given variations of drving cycle, orientation, altitude, ambient temperature along the trip. The simulation is validated by running the electric vehicle in different trips with and without air-conditioning. The average error between the measured and simulated value is less than 2.59% and the average deviation in the range estimation for the different trips considered is 4.09%. This simulated model will be useful for vehicle drivers to forecast the range and decide about battery charging strategy of electric vehicle.

Suggested Citation

  • Hariharan, C. & Gunadevan, D. & Arun Prakash, S. & Latha, K. & Antony Aroul Raj, V. & Velraj, R., 2022. "Simulation of battery energy consumption in an electric car with traction and HVAC model for a given source and destination for reducing the range anxiety of the driver," Energy, Elsevier, vol. 249(C).
    • Handle: RePEc:eee:energy:v:249:y:2022:i:c:s0360544222005606
    DOI: 10.1016/j.energy.2022.123657
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    References listed on IDEAS

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    Cited by:

    1. Zong, Fang & Li, Yu-Xuan & Zeng, Meng, 2023. "Developing a carbon emission charging scheme considering mobility as a service," Energy, Elsevier, vol. 267(C).

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