IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i13p3185-d1424769.html
   My bibliography  Save this article

Real-Time Implementable Integrated Energy and Cabin Temperature Management for Battery Life Extension in Electric Vehicles

Author

Listed:
  • Mattia Mauro

    (Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10129 Turin, Italy)

  • Atriya Biswas

    (Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

  • Carlo Fiorillo

    (Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10129 Turin, Italy)

  • Hao Wang

    (Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

  • Ezio Spessa

    (Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10129 Turin, Italy)

  • Federico Miretti

    (Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10129 Turin, Italy)

  • Ryan Ahmed

    (Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

  • Angelo Bonfitto

    (Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10129 Turin, Italy)

  • Ali Emadi

    (Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

Abstract

Among many emerging technologies, battery electric vehicles (BEVs) have emerged as a prominent and highly supported solution to stringent emissions regulations. However, despite their increasing popularity, key challenges that might jeopardize their further spread are the lack of charging infrastructure, battery life degradation, and the discrepancy between the actual and promised all-electric driving range. The primary focus of this paper is to formulate an integrated energy and thermal comfort management (IETM) strategy. This strategy optimally manages the electrical energy required by the heating, ventilation, and air conditioning (HVAC) unit, the most impacting auxiliary in terms of battery load, to minimize battery life degradation over any specific drive cycle while ensuring the actual cabin temperature hovers within the permissible tolerance limit from the reference cabin temperature and the driver-requested traction power is always satisfied. This work incorporates a state-of-health (SOH) estimation model, a high-fidelity cabin thermodynamics model, and an HVAC model into the forward-approach simulation model of a commercially available BEV to showcase the impact and efficacy of the proposed IETM strategy for enhancing battery longevity. The instantaneous optimization problem of IETM is solved by the golden-section search method leveraging the convexity of the objective function. Simulated results under different driving scenarios show that the improvement brought by the proposed ITEM controller can minimize battery health degradation by up to 4.5% and energy consumption by up to 2.8% while maintaining the cabin temperature deviation within permissible limits from the reference temperature.

Suggested Citation

  • Mattia Mauro & Atriya Biswas & Carlo Fiorillo & Hao Wang & Ezio Spessa & Federico Miretti & Ryan Ahmed & Angelo Bonfitto & Ali Emadi, 2024. "Real-Time Implementable Integrated Energy and Cabin Temperature Management for Battery Life Extension in Electric Vehicles," Energies, MDPI, vol. 17(13), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3185-:d:1424769
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/13/3185/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/13/3185/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cong Zhang & Dai Wang & Bin Wang & Fan Tong, 2020. "Battery Degradation Minimization-Oriented Hybrid Energy Storage System for Electric Vehicles," Energies, MDPI, vol. 13(1), pages 1-21, January.
    2. Liimatainen, Heikki & van Vliet, Oscar & Aplyn, David, 2019. "The potential of electric trucks – An international commodity-level analysis," Applied Energy, Elsevier, vol. 236(C), pages 804-814.
    3. Wu, Yue & Huang, Zhiwu & Li, Dongjun & Li, Heng & Peng, Jun & Stroe, Daniel & Song, Ziyou, 2024. "Optimal battery thermal management for electric vehicles with battery degradation minimization," Applied Energy, Elsevier, vol. 353(PA).
    Full references (including those not matched with items on IDEAS)

    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. Olayiwola Alatise & Arkadeep Deb & Erfan Bashar & Jose Ortiz Gonzalez & Saeed Jahdi & Walid Issa, 2023. "A Review of Power Electronic Devices for Heavy Goods Vehicles Electrification: Performance and Reliability," Energies, MDPI, vol. 16(11), pages 1-25, May.
    2. Korberg, Andrei David & Skov, Iva Ridjan & Mathiesen, Brian Vad, 2020. "The role of biogas and biogas-derived fuels in a 100% renewable energy system in Denmark," Energy, Elsevier, vol. 199(C).
    3. Mehdi Jahangir Samet & Heikki Liimatainen & Oscar Patrick René van Vliet & Markus Pöllänen, 2021. "Road Freight Transport Electrification Potential by Using Battery Electric Trucks in Finland and Switzerland," Energies, MDPI, vol. 14(4), pages 1-22, February.
    4. Luo, Pan & Gao, Kai & Hu, Lin & Chen, Bin & Zhang, Yuanjian, 2024. "Adaptive hybrid cooling strategy to mitigate battery thermal runaway considering natural convection in phase change material," Applied Energy, Elsevier, vol. 361(C).
    5. Fady M. A. Hassouna, 2022. "Urban Freight Transport Electrification in Westbank, Palestine: Environmental and Economic Benefits," Energies, MDPI, vol. 15(11), pages 1-12, June.
    6. Christina Littlejohn & Stef Proost, 2022. "How to be a good forerunner in carbon neutral trucking," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 167-197.
    7. Azra Ghobadi & Mohammad Fallah & Reza Tavakkoli-Moghaddam & Hamed Kazemipoor, 2022. "A Fuzzy Two-Echelon Model to Optimize Energy Consumption in an Urban Logistics Network with Electric Vehicles," Sustainability, MDPI, vol. 14(21), pages 1-31, October.
    8. Weiwei Shan & Michael Schwalm & Martin Shan, 2024. "A Design Tool for Battery/Supercapacitor Hybrid Energy Storage Systems Based on the Physical–Electrochemical Degradation Battery Model BaSiS," Energies, MDPI, vol. 17(14), pages 1-24, July.
    9. Kim, Dong-Min & Lee, Soo-Gyung & Kim, Dae-Kee & Park, Min-Ro & Lim, Myung-Seop, 2022. "Sizing and optimization process of hybrid electric propulsion system for heavy-duty vehicle based on Gaussian process modeling considering traction motor characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    10. Zichong Lyu & Dirk Pons & Yilei Zhang, 2023. "Emissions and Total Cost of Ownership for Diesel and Battery Electric Freight Pickup and Delivery Trucks in New Zealand: Implications for Transition," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    11. Yue Zhou & Hussein Obeid & Salah Laghrouche & Mickael Hilairet & Abdesslem Djerdir, 2020. "A Disturbance Rejection Control Strategy of a Single Converter Hybrid Electrical System Integrating Battery Degradation," Energies, MDPI, vol. 13(11), pages 1-19, June.
    12. Levent Özlü & Dilay Çelebi, 2024. "Electrifying Freight: Modeling the Decision-Making Process for Battery Electric Truck Procurement," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    13. Mehrnaz Farzam Far & Mikko Pihlatie & Marko Paakkinen & Marko Antila & Aida Abdulah, 2022. "Pre-Normative Charging Technology Roadmap for Heavy-Duty Electric Vehicles in Europe," Energies, MDPI, vol. 15(7), pages 1-24, March.
    14. Sebastian Szymon Grzesiak & Adam Sulich, 2023. "Electromobility: Logistics and Business Ecosystem Perspectives Review," Energies, MDPI, vol. 16(21), pages 1-27, October.
    15. Carlo Cunanan & Manh-Kien Tran & Youngwoo Lee & Shinghei Kwok & Vincent Leung & Michael Fowler, 2021. "A Review of Heavy-Duty Vehicle Powertrain Technologies: Diesel Engine Vehicles, Battery Electric Vehicles, and Hydrogen Fuel Cell Electric Vehicles," Clean Technol., MDPI, vol. 3(2), pages 1-16, June.
    16. McDonagh, Shane & Ahmed, Shorif & Desmond, Cian & Murphy, Jerry D, 2020. "Hydrogen from offshore wind: Investor perspective on the profitability of a hybrid system including for curtailment," Applied Energy, Elsevier, vol. 265(C).
    17. Fernando Ortenzi & Natascia Andrenacci & Manlio Pasquali & Carlo Villante, 2020. "On the Hybridization of Microcars with Hybrid UltraCapacitors and Li-Ion Batteries Storage Systems," Energies, MDPI, vol. 13(12), pages 1-21, June.
    18. Scholl, Joachim & Boysen, Nils & Scholl, Armin, 2023. "E-platooning: Optimizing platoon formation for long-haul transportation with electric commercial vehicles," European Journal of Operational Research, Elsevier, vol. 304(2), pages 525-542.
    19. Zhang, Haifeng & Tian, Ming & Zhang, Cong & Wang, Bin & Wang, Dai, 2021. "A systematic solution to quantify economic values of vehicle grid integration," Energy, Elsevier, vol. 232(C).
    20. Gang Xiao & Qihong Chen & Peng Xiao & Liyan Zhang & Quansen Rong, 2022. "Multiobjective Optimization for a Li-Ion Battery and Supercapacitor Hybrid Energy Storage Electric Vehicle," Energies, MDPI, vol. 15(8), pages 1-13, April.

    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:17:y:2024:i:13:p:3185-:d:1424769. 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.