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Cooling System Energy Consumption Reduction through a Novel All-Electric Powertrain Traction Module and Control Optimization

Author

Listed:
  • Simone Lombardi

    (Department of Industrial Engineering, University of Rome Niccolò Cusano, Via Don Carlo Gnocchi, 3, 00195 Rome, Italy)

  • Manfredi Villani

    (Department of Industrial Engineering, University of Rome Niccolò Cusano, Via Don Carlo Gnocchi, 3, 00195 Rome, Italy)

  • Daniele Chiappini

    (Department of Industrial Engineering, University of Rome Niccolò Cusano, Via Don Carlo Gnocchi, 3, 00195 Rome, Italy)

  • Laura Tribioli

    (Department of Industrial Engineering, University of Rome Niccolò Cusano, Via Don Carlo Gnocchi, 3, 00195 Rome, Italy)

Abstract

In this work, the problem of reducing the energy consumption of the cooling circuit for the propulsion system of an all-electric vehicle is approached with two different concepts: improvement of the powertrain efficiency and optimization of the control strategy. Improvement of the powertrain efficiency is obtained through a modular design, which consists of replacing the electric powertrain with several smaller traction modules whose powers sum up to the total power of the original powertrain. In this paper, it is shown how modularity, among other benefits, also allows reducing the energy consumption of the cooling system up to 54%. The energy consumption of the cooling system is associated with two components: the pump and the fan. They produce a so-called auxiliary load on the battery, reducing the maximum range of the vehicle. In conventional cooling systems, the pump and the fan are controlled with a thermostat, without taking into account the energy consumption. Conversely, in this work a control strategy to reduce the auxiliary loads is developed and compared with the conventional approach, showing that the energy consumption of the cooling system can be reduced up to 27%. To test the control strategy, numerical simulations have been carried out with a 1-D model of the cooling system. On the other hand, all the thermal loads of the components have been calculated with a vehicle simulator, which is able to predict the vehicle’s behavior under different driving cycles.

Suggested Citation

  • Simone Lombardi & Manfredi Villani & Daniele Chiappini & Laura Tribioli, 2020. "Cooling System Energy Consumption Reduction through a Novel All-Electric Powertrain Traction Module and Control Optimization," Energies, MDPI, vol. 14(1), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:33-:d:467042
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    References listed on IDEAS

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    1. Anatole Desreveaux & Alain Bouscayrol & Elodie Castex & Rochdi Trigui & Eric Hittinger & Gabriel-Mihai Sirbu, 2020. "Annual Variation in Energy Consumption of an Electric Vehicle Used for Commuting," Energies, MDPI, vol. 13(18), pages 1-15, September.
    2. Bogdan Ovidiu Varga & Arsen Sagoian & Florin Mariasiu, 2019. "Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges," Energies, MDPI, vol. 12(5), pages 1-19, March.
    3. Daniele Basciotti & Dominik Dvorak & Imre Gellai, 2020. "A Novel Methodology for Evaluating the Impact of Energy Efficiency Measures on the Cabin Thermal Comfort of Electric Vehicles," Energies, MDPI, vol. 13(15), pages 1-16, July.
    4. Yan Wang & Qing Gao & Tianshi Zhang & Guohua Wang & Zhipeng Jiang & Yunxia Li, 2017. "Advances in Integrated Vehicle Thermal Management and Numerical Simulation," Energies, MDPI, vol. 10(10), pages 1-30, October.
    5. Anas Lahlou & Florence Ossart & Emmanuel Boudard & Francis Roy & Mohamed Bakhouya, 2020. "Optimal Management of Thermal Comfort and Driving Range in Electric Vehicles," Energies, MDPI, vol. 13(17), pages 1-31, August.
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    Cited by:

    1. Davide Di Battista & Roberto Cipollone, 2023. "Waste Energy Recovery and Valorization in Internal Combustion Engines for Transportation," Energies, MDPI, vol. 16(8), pages 1-28, April.

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