IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i15p3872-d391338.html
   My bibliography  Save this article

A Novel Methodology for Evaluating the Impact of Energy Efficiency Measures on the Cabin Thermal Comfort of Electric Vehicles

Author

Listed:
  • Daniele Basciotti

    (AIT Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria)

  • Dominik Dvorak

    (AIT Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria)

  • Imre Gellai

    (AIT Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria)

Abstract

Climate control systems have a largely negative effect on the energy consumption of electric vehicles and consequently on their real driving range. Improving the efficiency of climate control systems requires advanced simulation tools for an accurate evaluation of both the energy savings and thermal comfort of innovative heating and cooling solutions. In this study, the advancements beyond the state of the art consists primarily of the methodology tackling the reduction of computational costs of intensive computational fluid dynamics (CFD) simulations and/or time-consuming experimental investigations and the simultaneous assessment of vehicle cabin thermal comfort and energy flows. The approach was validated against climatized chassis dyno measurements from the EU Horizon 2020 research project QUIET. Indeed, all the considered locations within the cabin were properly validated, both in steady state and transient conditions with the largest deviations at steady state below 3 °C. Additionally, the validation results show a perfect agreement for the average cabin predicted mean vote (PMV) value and a largest deviation in terms of the PMV for the other locations below 0.3. Furthermore, the applicability of the methodology is proved with the help of its application on a parametric study for which various cabin temperature setpoints and heating, ventilation and air conditioning (HVAC) modes were simulated in winter operation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3872-:d:391338
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/15/3872/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/15/3872/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oh, Myoung Su & Ahn, Jae Hwan & Kim, Dong Woo & Jang, Dong Soo & Kim, Yongchan, 2014. "Thermal comfort and energy saving in a vehicle compartment using a localized air-conditioning system," Applied Energy, Elsevier, vol. 133(C), pages 14-21.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ivan Cvok & Igor Ratković & Joško Deur, 2020. "Optimisation of Control Input Allocation Maps for Electric Vehicle Heat Pump-based Cabin Heating Systems," Energies, MDPI, vol. 13(19), pages 1-23, October.
    2. 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.
    3. 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.
    4. Ivan Panfilov & Alexey N. Beskopylny & Besarion Meskhi, 2024. "Improving the Fuel Economy and Energy Efficiency of Train Cab Climate Systems, Considering Air Recirculation Modes," Energies, MDPI, vol. 17(9), pages 1-26, May.
    5. Ju Yeong Kwon & Jung Kyung Kim & Hyunjin Lee & Dongchan Lee & Da Young Ju, 2023. "A Comprehensive Overview of Basic Research on Human Thermal Management in Future Mobility: Considerations, Challenges, and Methods," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    6. 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.
    7. Gian Luca Patrone & Elena Paffumi & Marcos Otura & Mario Centurelli & Christian Ferrarese & Steffen Jahn & Andreas Brenner & Bernd Thieringer & Daniel Braun & Thomas Hoffmann, 2022. "Assessing the Energy Consumption and Driving Range of the QUIET Project Demonstrator Vehicle," Energies, MDPI, vol. 15(4), pages 1-21, February.
    8. Adam Wróblewski & Arkadiusz Macek & Aleksandra Banasiewicz & Sebastian Gola & Maciej Zawiślak & Anna Janicka, 2023. "CFD Analysis of the Forced Airflow and Temperature Distribution in the Air-Conditioned Operator’s Cabin of the Stationary Rock Breaker in Underground Mine under Increasing Heat Flux," Energies, MDPI, vol. 16(9), pages 1-18, April.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tatchell-Evans, Morgan & Kapur, Nik & Summers, Jonathan & Thompson, Harvey & Oldham, Dan, 2017. "An experimental and theoretical investigation of the extent of bypass air within data centres employing aisle containment, and its impact on power consumption," Applied Energy, Elsevier, vol. 186(P3), pages 457-469.
    2. Haibo Wu & Xingwang Tang & Sichuan Xu & Jiangbin Zhou, 2022. "Research on Energy Saving of PHEV Air Conditioning System Based on Reducing Air Backflow in Underhood," Energies, MDPI, vol. 15(9), pages 1-15, April.
    3. Lee, Minjung & Ham, Jeonggyun & Lee, Jeong-Won & Cho, Honghyun, 2023. "Analysis of thermal comfort, energy consumption, and CO2 reduction of indoor space according to the type of local heating under winter rest conditions," Energy, Elsevier, vol. 268(C).
    4. Huang, Yanjun & Khajepour, Amir & Ding, Haitao & Bagheri, Farshid & Bahrami, Majid, 2017. "An energy-saving set-point optimizer with a sliding mode controller for automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 188(C), pages 576-585.
    5. Yingdong He & Nianping Li & Xiang Wang & Meiling He & De He, 2017. "Comfort, Energy Efficiency and Adoption of Personal Cooling Systems in Warm Environments: A Field Experimental Study," IJERPH, MDPI, vol. 14(11), pages 1-26, November.
    6. Yuan, Jihui & Huang, Pei & Chai, Jiale, 2022. "Development of a calibrated typical meteorological year weather file in system design of zero-energy building for performance improvements," Energy, Elsevier, vol. 259(C).
    7. Balvís, Eduardo & Sampedro, Óscar & Zaragoza, Sonia & Paredes, Angel & Michinel, Humberto, 2016. "A simple model for automatic analysis and diagnosis of environmental thermal comfort in energy efficient buildings," Applied Energy, Elsevier, vol. 177(C), pages 60-70.
    8. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
    9. Li, Xiaolong & Xie, Changjun & Quan, Shuhai & Huang, Liang & Fang, Wei, 2018. "Energy management strategy of thermoelectric generation for localized air conditioners in commercial vehicles based on 48 V electrical system," Applied Energy, Elsevier, vol. 231(C), pages 887-900.
    10. Sina Shojaei & Andrew McGordon & Simon Robinson & James Marco, 2017. "Improving the Performance Attributes of Plug-in Hybrid Electric Vehicles in Hot Climates through Key-Off Battery Cooling," Energies, MDPI, vol. 10(12), pages 1-28, December.
    11. Huang, Yanjun & Khajepour, Amir & Bagheri, Farshid & Bahrami, Majid, 2016. "Optimal energy-efficient predictive controllers in automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 184(C), pages 605-618.
    12. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2017. "Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology," Applied Energy, Elsevier, vol. 193(C), pages 276-286.
    13. Jiying Liu & Shengwei Zhu & Moon Keun Kim & Jelena Srebric, 2019. "A Review of CFD Analysis Methods for Personalized Ventilation (PV) in Indoor Built Environments," Sustainability, MDPI, vol. 11(15), pages 1-33, August.
    14. 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.
    15. Heangwoo Lee, 2020. "A Basic Study on the Performance Evaluation of a Movable Light Shelf with a Rolling Reflector That Can Change Reflectivity to Improve the Visual Environment," IJERPH, MDPI, vol. 17(22), pages 1-19, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3872-:d:391338. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.