IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6791-d917195.html
   My bibliography  Save this article

Gender Aspects in Driving Style and Its Impact on Battery Ageing

Author

Listed:
  • Evelina Wikner

    (Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Raik Orbay

    (Volvo Car Corporation, 405 31 Gothenburg, Sweden)

  • Sara Fogelström

    (Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Torbjörn Thiringer

    (Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

Abstract

The long and tiring discussion of who are the best drivers, men or women, is not answered in this article. This article, though, sheds some light on the actual differences that can be seen in how men and women drive. In this study, GPS-recorded driving dynamics data from 123 drivers, 48 women and 75 men, are analysed and drivers are categorised as aggressive, normal or gentle. A total of 10% of the drivers was categorised as aggressive, with an even distribution between the genders. For the gentle drivers, 11% of the drivers, the men dominated. The driving style investigation was extended to utilise machine learning, confirming the results from statistical tools. As driving style highly impacts a vehicle’s fuel consumption, while switching over to battery electric vehicles it is important to investigate how the different driving styles impact battery utilisation. Two Li-ion battery cell types were tested utilising the same load cycle with three levels of current amplitude, to represent accelerations for the three drive categories. While one cell type was insensitive to the current amplitude, the highly energy-optimised cell proved to be sensitive to higher current amplitudes, corresponding to a more aggressive driving style. Thus, the amplitude of the dynamic current can for some cells be a factor that needs to be considered for lifetime predictions, while it can be neglected for other cells.

Suggested Citation

  • Evelina Wikner & Raik Orbay & Sara Fogelström & Torbjörn Thiringer, 2022. "Gender Aspects in Driving Style and Its Impact on Battery Ageing," Energies, MDPI, vol. 15(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6791-:d:917195
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6791/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/18/6791/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul Oyer, 2020. "The gig economy," IZA World of Labor, Institute of Labor Economics (IZA), pages 471-471, January.
    2. Uddin, Kotub & Moore, Andrew D. & Barai, Anup & Marco, James, 2016. "The effects of high frequency current ripple on electric vehicle battery performance," Applied Energy, Elsevier, vol. 178(C), pages 142-154.
    3. Arnaud Devie & George Baure & Matthieu Dubarry, 2018. "Intrinsic Variability in the Degradation of a Batch of Commercial 18650 Lithium-Ion Cells," Energies, MDPI, vol. 11(5), pages 1-14, April.
    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. Vagioula Tsoutsi & Maria Papadakaki & George Yannis & Dimosthenis Pavlou & Maria Basta & Joannes Chliaoutakis & Dimitris Dikeos, 2023. "Driving Behaviour in Depression Based on Subjective Evaluation and Data from a Driving Simulator," IJERPH, MDPI, vol. 20(8), pages 1-15, April.

    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. Bảo-Huy Nguyễn & João Pedro F. Trovão & Ronan German & Alain Bouscayrol, 2020. "Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation," Energies, MDPI, vol. 13(21), pages 1-19, October.
    2. Qi Yao & Dylan-Dah-Chuan Lu & Gang Lei, 2021. "Accurate Online Battery Impedance Measurement Method with Low Output Voltage Ripples on Power Converters," Energies, MDPI, vol. 14(4), pages 1-16, February.
    3. Jorge Varela Barreras & Ricardo de Castro & Yihao Wan & Tomislav Dragicevic, 2021. "A Consensus Algorithm for Multi-Objective Battery Balancing," Energies, MDPI, vol. 14(14), pages 1-25, July.
    4. Strittmatter, Anthony & Wunsch, Conny, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Working papers 2021/05, Faculty of Business and Economics - University of Basel.
    5. Duy-Dinh Nguyen & The-Tiep Pham & Tat-Thang Le & Sewan Choi & Kazuto Yukita, 2023. "A Modulation Method for Three-Phase Dual-Active-Bridge Converters in Battery Charging Applications," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    6. da Silva, Samuel Filgueira & Eckert, Jony Javorski & Corrêa, Fernanda Cristina & Silva, Fabrício Leonardo & Silva, Ludmila C.A. & Dedini, Franco Giuseppe, 2022. "Dual HESS electric vehicle powertrain design and fuzzy control based on multi-objective optimization to increase driving range and battery life cycle," Applied Energy, Elsevier, vol. 324(C).
    7. Duy-Dinh Nguyen & Ngoc-Tam Bui & Kazuto Yukita, 2019. "Design and Optimization of Three-Phase Dual-Active-Bridge Converters for Electric Vehicle Charging Stations," Energies, MDPI, vol. 13(1), pages 1-17, December.
    8. Dai-Duong Tran & Sajib Chakraborty & Yuanfeng Lan & Mohamed El Baghdadi & Omar Hegazy, 2020. "NSGA-II-Based Codesign Optimization for Power Conversion and Controller Stages of Interleaved Boost Converters in Electric Vehicle Drivetrains," Energies, MDPI, vol. 13(19), pages 1-31, October.
    9. Altanshagai Batmunkh & Maria Fekete-Farkas & Zoltan Lakner, 2022. "Bibliometric Analysis of Gig Economy," Administrative Sciences, MDPI, vol. 12(2), pages 1-15, April.
    10. V S Bharath Kurukuru & Ahteshamul Haque & Arun Kumar Tripathy & Mohammed Ali Khan, 2022. "Machine learning framework for photovoltaic module defect detection with infrared images," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 1771-1787, August.
    11. Menzel, Andreas & Woodruff, Christopher, 2021. "Gender wage gaps and worker mobility: Evidence from the garment sector in Bangladesh," Labour Economics, Elsevier, vol. 71(C).
    12. João Faria & José Pombo & Maria do Rosário Calado & Sílvio Mariano, 2019. "Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System," Energies, MDPI, vol. 12(5), pages 1-24, March.
    13. George Baure & Matthieu Dubarry, 2020. "Durability and Reliability of EV Batteries under Electric Utility Grid Operations: Impact of Frequency Regulation Usage on Cell Degradation," Energies, MDPI, vol. 13(10), pages 1-11, May.
    14. Pablo Korth Pereira Ferraz & Julia Kowal, 2019. "A Comparative Study on the Influence of DC/DC-Converter Induced High Frequency Current Ripple on Lithium-Ion Batteries," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    15. Andrea Carloni & Federico Baronti & Roberto Di Rienzo & Roberto Roncella & Roberto Saletti, 2021. "On the Sizing of the DC-Link Capacitor to Increase the Power Transfer in a Series-Series Inductive Resonant Wireless Charging Station," Energies, MDPI, vol. 14(3), pages 1-13, January.
    16. Fatemeh Nasr Esfahani & Ahmed Darwish & Barry W. Williams, 2022. "Power Converter Topologies for Grid-Tied Solar Photovoltaic (PV) Powered Electric Vehicles (EVs)—A Comprehensive Review," Energies, MDPI, vol. 15(13), pages 1-28, June.
    17. Mohammad Al-Amin & Anup Barai & T.R. Ashwin & James Marco, 2021. "An Insight to the Degradation Behaviour of the Parallel Connected Lithium-Ion Battery Cells," Energies, MDPI, vol. 14(16), pages 1-18, August.
    18. Rogers, Daniel J. & Aslett, Louis J.M. & Troffaes, Matthias C.M., 2021. "Modelling of modular battery systems under cell capacity variation and degradation," Applied Energy, Elsevier, vol. 283(C).
    19. Sid-Ali Amamra & Yashraj Tripathy & Anup Barai & Andrew D. Moore & James Marco, 2020. "Electric Vehicle Battery Performance Investigation Based on Real World Current Harmonics," Energies, MDPI, vol. 13(2), pages 1-13, January.
    20. Meng Liu & Erik Brynjolfsson & Jason Dowlatabadi, 2021. "Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis," Management Science, INFORMS, vol. 67(8), pages 4665-4685, August.

    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:15:y:2022:i:18:p:6791-:d:917195. 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.