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The potential for brake energy regeneration under Swedish conditions

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  • Björnsson, Lars-Henrik
  • Karlsson, Sten

Abstract

The ability to regenerate energy when braking is a valuable advantage of hybrid and fully electric vehicles. The regeneration potential mainly depends on how a car is driven and on the capacity of the drivetrain. Detailed studies of the regeneration potential based on brake energy in real-world driving are needed to better understand the potential gains of car-electrification, since test cycles do not take individual driving characteristics or route elevation into account. This study uses a model of a normalized vehicle and a highly detailed and representative data set of individual car movements including elevation to analyze the potential for energy regeneration in cars when driven under current real-world Swedish conditions.

Suggested Citation

  • Björnsson, Lars-Henrik & Karlsson, Sten, 2016. "The potential for brake energy regeneration under Swedish conditions," Applied Energy, Elsevier, vol. 168(C), pages 75-84.
    • Handle: RePEc:eee:appene:v:168:y:2016:i:c:p:75-84
    DOI: 10.1016/j.apenergy.2016.01.051
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    References listed on IDEAS

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    1. Lewis, Anne Marie & Kelly, Jarod C. & Keoleian, Gregory A., 2014. "Vehicle lightweighting vs. electrification: Life cycle energy and GHG emissions results for diverse powertrain vehicles," Applied Energy, Elsevier, vol. 126(C), pages 13-20.
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    Cited by:

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    2. Shi, Dehua & Pisu, Pierluigi & Chen, Long & Wang, Shaohua & Wang, Renguang, 2016. "Control design and fuel economy investigation of power split HEV with energy regeneration of suspension," Applied Energy, Elsevier, vol. 182(C), pages 576-589.
    3. Ying Lyu & Xuenan Sun & Hong Chu & Bingzhao Gao, 2020. "Improvement of Battery Life and Energy Economy for Electric Vehicles with Two-Speed Transmission," Energies, MDPI, vol. 13(13), pages 1-20, July.
    4. Wilbur, Joshua D. & Dames, Chris, 2021. "Frequency regime dependent figures of merit and optimization guidelines for maximizing pyroelectric power output," Applied Energy, Elsevier, vol. 293(C).
    5. Yuan, Xinmei & Zhang, Chuanpu & Hong, Guokai & Huang, Xueqi & Li, Lili, 2017. "Method for evaluating the real-world driving energy consumptions of electric vehicles," Energy, Elsevier, vol. 141(C), pages 1955-1968.
    6. Vepsäläinen, Jari & Otto, Kevin & Lajunen, Antti & Tammi, Kari, 2019. "Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions," Energy, Elsevier, vol. 169(C), pages 433-443.
    7. Taljegard, M. & Göransson, L. & Odenberger, M. & Johnsson, F., 2017. "Spacial and dynamic energy demand of the E39 highway – Implications on electrification options," Applied Energy, Elsevier, vol. 195(C), pages 681-692.
    8. Karol Tucki, 2021. "A Computer Tool for Modelling CO 2 Emissions in Driving Cycles for Spark Ignition Engines Powered by Biofuels," Energies, MDPI, vol. 14(5), pages 1-33, March.
    9. Emilia M. Szumska & Rafał Jurecki, 2022. "The Analysis of Energy Recovered during the Braking of an Electric Vehicle in Different Driving Conditions," Energies, MDPI, vol. 15(24), pages 1-16, December.
    10. Ruan, Jiageng & Walker, Paul D. & Watterson, Peter A. & Zhang, Nong, 2016. "The dynamic performance and economic benefit of a blended braking system in a multi-speed battery electric vehicle," Applied Energy, Elsevier, vol. 183(C), pages 1240-1258.

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