IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2016i1p10-d86161.html
   My bibliography  Save this article

A Causal and Real-Time Capable Power Management Algorithm for Off-Highway Hybrid Propulsion Systems

Author

Listed:
  • Johannes Schalk

    (MTU Friedrichshafen GmbH, Maybachplatz 1, 88045 Friedrichshafen, Germany)

  • Harald Aschemann

    (Chair of Mechatronics, Rostock University, Justus-von-Liebig Weg 6, 18059 Rostock, Germany)

Abstract

Hybrid propulsion systems allow for a reduction of fuel consumption and pollutant emissions of future off-highway applications. A challenging aspect of a hybridization is the larger number of system components that further increases both the complexity and the diversification of such systems. Hence, beside a standardization on the hardware side for off-highway systems, a high flexibility and modularity of the control schemes is required to employ them in as many different applications as possible. In this paper, a causal optimization-based power management algorithm is introduced to control the power split between engine and electric machine in a hybrid powertrain. The algorithm optimizes the power split to achieve the maximum power supply efficiency and, thereby, considers the energy cost for maintaining the battery charge. Furthermore, the power management provides an optional function to control the battery state of charge in such a way that a target value is attained. In a simulation case study, the potential and the benefits of the proposed power management for the hybrid powertrain—aiming at a reduction of the fuel consumption of a DMU (diesel multiple unit train) operated on a representative track—will be shown.

Suggested Citation

  • Johannes Schalk & Harald Aschemann, 2016. "A Causal and Real-Time Capable Power Management Algorithm for Off-Highway Hybrid Propulsion Systems," Energies, MDPI, vol. 10(1), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:10:y:2016:i:1:p:10-:d:86161
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/1/10/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/1/10/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Baffes & M. Ayhan Kose & Franziska Ohnsorge & Marc Stocker, 2015. "The Great Plunge in Oil Prices: Causes, Consequences, and Policy Responses," Policy Research Notes (PRNs) 94725, The World Bank.
    2. Zou Yuan & Liu Teng & Sun Fengchun & Huei Peng, 2013. "Comparative Study of Dynamic Programming and Pontryagin’s Minimum Principle on Energy Management for a Parallel Hybrid Electric Vehicle," Energies, MDPI, vol. 6(4), pages 1-14, April.
    3. Mohammad Ali Karbaschian & Dirk Söffker, 2014. "Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives," Energies, MDPI, vol. 7(6), pages 1-25, May.
    4. Tobias Nüesch & Alberto Cerofolini & Giorgio Mancini & Nicolò Cavina & Christopher Onder & Lino Guzzella, 2014. "Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle," Energies, MDPI, vol. 7(5), pages 1-31, May.
    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. Hanho Son & Hyunsoo Kim, 2016. "Development of Near Optimal Rule-Based Control for Plug-In Hybrid Electric Vehicles Taking into Account Drivetrain Component Losses," Energies, MDPI, vol. 9(6), pages 1-18, May.
    2. Fengqi Zhang & Lihua Wang & Serdar Coskun & Hui Pang & Yahui Cui & Junqiang Xi, 2020. "Energy Management Strategies for Hybrid Electric Vehicles: Review, Classification, Comparison, and Outlook," Energies, MDPI, vol. 13(13), pages 1-35, June.
    3. Yuping Zeng & Yang Cai & Guiyue Kou & Wei Gao & Datong Qin, 2018. "Energy Management for Plug-In Hybrid Electric Vehicle Based on Adaptive Simplified-ECMS," Sustainability, MDPI, vol. 10(6), pages 1-24, June.
    4. Xiong, Rui & Cao, Jiayi & Yu, Quanqing, 2018. "Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle," Applied Energy, Elsevier, vol. 211(C), pages 538-548.
    5. Yuping Zeng & Yang Cai & Changbao Chu & Guiyue Kou & Wei Gao, 2018. "Integrated Energy and Catalyst Thermal Management for Plug-In Hybrid Electric Vehicles," Energies, MDPI, vol. 11(7), pages 1-29, July.
    6. Chen, Zheng & Xia, Bing & You, Chenwen & Mi, Chunting Chris, 2015. "A novel energy management method for series plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 145(C), pages 172-179.
    7. Teng Liu & Yuan Zou & Dexing Liu & Fengchun Sun, 2015. "Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle," Energies, MDPI, vol. 8(7), pages 1-18, July.
    8. Di Guo & Changqing Du & Fuwu Yan, 2016. "Drivability-Related Discrete-Time Model Predictive Control of Mode Transition in Pre-Transmission Parallel Hybrid Powertrains," Energies, MDPI, vol. 9(9), pages 1-31, September.
    9. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "U.S. shale oil production and WTI prices behaviour," Energy, Elsevier, vol. 141(C), pages 12-19.
    10. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    11. Shaobo Xie & Xiaosong Hu & Kun Lang & Shanwei Qi & Tong Liu, 2018. "Powering Mode-Integrated Energy Management Strategy for a Plug-In Hybrid Electric Truck with an Automatic Mechanical Transmission Based on Pontryagin’s Minimum Principle," Sustainability, MDPI, vol. 10(10), pages 1-23, October.
    12. Ibrahim Alshomaly & Walid Shawaqfeh, 2020. "The Effect of Export Diversification on the Economic Growth of West-Asian Arab Countries," Journal of Social Sciences (COES&RJ-JSS), , vol. 9(2), pages 429-450, April.
    13. Evan Dudley & Niclas Andrén & Håkan Jankensgård, 2022. "How do firms hedge in financial distress?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1324-1351, July.
    14. Gern, Klaus-Jürgen & Jannsen, Nils & Kooths, Stefan & Plödt, Martin, 2015. "Weltkonjunktur im Frühjahr 2015 - Weltkonjunktur zieht allmählich an," Kieler Konjunkturberichte 3, Kiel Institute for the World Economy (IfW Kiel).
    15. Omid Asadollah & Linda Schwartz Carmy & Md. Rezwanul Hoque & Hakan Yilmazkuday, 2024. "Geopolitical risk, supply chains, and global inflation," The World Economy, Wiley Blackwell, vol. 47(8), pages 3450-3486, August.
    16. Kose,Ayhan & Ohnsorge,Franziska Lieselotte & Ye,Lei Sandy & Islamaj,Ergys, 2017. "Weakness in investment growth : causes, implications and policy responses," Policy Research Working Paper Series 7990, The World Bank.
    17. Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022. "Common factors of commodity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
    18. Cervera, Ignacio & Figuerola-Ferretti, Isabel, 2024. "Credit risk and bubble behavior of credit default swaps in the corporate energy sector," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 702-731.
    19. Arteta,Carlos & Kose,Ayhan & Stocker,Marc & Taskin,Temel, 2016. "Negative interest rate policies : sources and implications," Policy Research Working Paper Series 7791, The World Bank.
    20. Ohnsorge,Franziska Lieselotte & Stocker,Marc & Some,Modeste Y., 2016. "Quantifying uncertainties in global growth forecasts," Policy Research Working Paper Series 7770, The World Bank.

    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:10:y:2016:i:1:p:10-:d:86161. 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.