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Demand-Based Control Design for Efficient Heat Pump Operation of Electric Vehicles

Author

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  • Dominik Dvorak

    (Center for Low-Emission Transport—Electric Drive Technologies, AIT Austrian Institute of Technology GmbH, 1210 Vienna, Austria)

  • Daniele Basciotti

    (Center for Low-Emission Transport—Electric Drive Technologies, AIT Austrian Institute of Technology GmbH, 1210 Vienna, Austria)

  • Imre Gellai

    (Center for Low-Emission Transport—Electric Drive Technologies, AIT Austrian Institute of Technology GmbH, 1210 Vienna, Austria)

Abstract

Thermal management systems of passenger vehicles are fundamental to provide adequate cabin thermal comfort. However, for battery electric vehicles they can use a significant amount of battery energy and thus reduce the real driving range. Indeed, when heating or cooling the vehicle cabin the thermal management system can consume up to 84% of the battery capacity. This study proposes a model-based approach to design an energy-efficient control strategy for heating electric vehicles, considering the entire climate control system at different ambient conditions. Specifically, the study aims at reducing the energy demand of the compressor and water pumps when operating in heat pump mode. At this scope, the climate control system of the reference vehicle is modelled and validated, enabling a system efficiency analysis in different operating points. Based on the system performance assessment, the optimized operating strategy for the compressor and the water pumps is elaborated and the results show that the demand-based control achieves up to 34% energy reduction when compared to the standard control.

Suggested Citation

  • Dominik Dvorak & Daniele Basciotti & Imre Gellai, 2020. "Demand-Based Control Design for Efficient Heat Pump Operation of Electric Vehicles," Energies, MDPI, vol. 13(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5440-:d:430977
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    References listed on IDEAS

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    1. Suh, In-Soo & Lee, Minyoung & Kim, Jedok & Oh, Sang Taek & Won, Jong-Phil, 2015. "Design and experimental analysis of an efficient HVAC (heating, ventilation, air-conditioning) system on an electric bus with dynamic on-road wireless charging," Energy, Elsevier, vol. 81(C), pages 262-273.
    2. Muhammad Umair Ali & Amad Zafar & Sarvar Hussain Nengroo & Sadam Hussain & Gwan-Soo Park & Hee-Je Kim, 2019. "Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Features," Energies, MDPI, vol. 12(22), pages 1-14, November.
    3. Filip Maletić & Mario Hrgetić & Joško Deur, 2020. "Dual Nonlinear Kalman Filter-Based SoC and Remaining Capacity Estimation for an Electric Scooter Li-NMC Battery Pack," Energies, MDPI, vol. 13(3), pages 1-16, January.
    4. Lee, Hoseong & Hwang, Yunho & Song, Ilguk & Jang, Kilsang, 2015. "Transient thermal model of passenger car's cabin and implementation to saturation cycle with alternative working fluids," Energy, Elsevier, vol. 90(P2), pages 1859-1868.
    5. Yuan Chen & Yigang He & Zhong Li & Liping Chen, 2019. "A Combined Multiple Factor Degradation Model and Online Verification for Electric Vehicle Batteries," Energies, MDPI, vol. 12(22), pages 1-12, November.
    6. Kaizhi Liang & Zhaosheng Zhang & Peng Liu & Zhenpo Wang & Shangfeng Jiang, 2019. "Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles," Energies, MDPI, vol. 12(24), pages 1-17, December.
    7. Ziqi Zhang & Wanyong Li & Junye Shi & Jiangping Chen, 2016. "A Study on Electric Vehicle Heat Pump Systems in Cold Climates," Energies, MDPI, vol. 9(11), pages 1-11, October.
    8. 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.
    9. Jinhyeong Park & Munsu Lee & Gunwoo Kim & Seongyun Park & Jonghoon Kim, 2020. "Integrated Approach Based on Dual Extended Kalman Filter and Multivariate Autoregressive Model for Predicting Battery Capacity Using Health Indicator and SOC/SOH," Energies, MDPI, vol. 13(9), pages 1-20, April.
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    Cited by:

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    2. Alexander Wahl & Christoph Wellmann & Björn Krautwig & Patrick Manns & Bicheng Chen & Christof Schernus & Jakob Andert, 2022. "Efficiency Increase through Model Predictive Thermal Control of Electric Vehicle Powertrains," Energies, MDPI, vol. 15(4), pages 1-21, February.
    3. Zakariya Kaneesamkandi & Abdulaziz Almujahid & Basharat Salim & Abdul Sayeed & Waleed Mohammed AlFadda, 2023. "Enhancement of Condenser Performance in Vapor Absorption Refrigeration Systems Operating in Arid Climatic Zones—Selection of Best Option," Energies, MDPI, vol. 16(21), pages 1-18, November.
    4. Kwon Joong Son, 2024. "Model Characterization of High-Voltage Layer Heater for Electric Vehicles through Electro–Thermo–Fluidic Simulations," Energies, MDPI, vol. 17(12), pages 1-13, June.
    5. Ivan Cvok & Igor Ratković & Joško Deur, 2021. "Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range," Energies, MDPI, vol. 14(4), pages 1-24, February.

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