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Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives

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  • Mohammad Ali Karbaschian

    (Chair of Dynamics and Control, University of Duisburg-Essen, Lotharstr. 1, Duisburg 47057, Germany)

  • Dirk Söffker

    (Chair of Dynamics and Control, University of Duisburg-Essen, Lotharstr. 1, Duisburg 47057, Germany)

Abstract

The main advantage of hybrid powertrains is based on the efficient transfer of power and torque from power sources to the powertrain as well as recapturing of reversible energies without effecting the vehicle performance. The benefits of hybrid hydraulic powertrains can be better utilized with an appropriate power management. In this paper, different types of power management algorithms like off-line and on-line methods are briefly reviewed and classified. Finally, the algorithms are evaluated and compared. Therefore, different related criteria are evaluated and applied.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:6:p:3512-3536:d:36546
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Bedatri Moulik & Dirk Söffker, 2015. "Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review," Energies, MDPI, vol. 8(9), pages 1-15, August.
    2. Ximing Wang & Hongwen He & Fengchun Sun & Jieli Zhang, 2015. "Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles," Energies, MDPI, vol. 8(4), pages 1-20, April.
    3. Hanho Son & Kyusik Park & Sungho Hwang & Hyunsoo Kim, 2017. "Design Methodology of a Power Split Type Plug-In Hybrid Electric Vehicle Considering Drivetrain Losses," Energies, MDPI, vol. 10(4), pages 1-18, March.
    4. Vadym SAMORODOV & Anatoliy BONDARENKO & Igor TARAN & Iryna KLYMENKO, 2020. "Power Flows In A Hydrostatic-Mechanical Transmission Of A Mining Locomotive During The Braking Process," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 15(3), pages 17-28, September.
    5. 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.
    6. Branimir Škugor & Joško Petrić, 2018. "Optimization of Control Variables and Design of Management Strategy for Hybrid Hydraulic Vehicle," Energies, MDPI, vol. 11(10), pages 1-24, October.
    7. Diming Lou & Yinghua Zhao & Liang Fang & Yuanzhi Tang & Caihua Zhuang, 2022. "Encoder–Decoder-Based Velocity Prediction Modelling for Passenger Vehicles Coupled with Driving Pattern Recognition," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    8. 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.
    9. L. Viktor Larsson & Liselott Ericson & Karl Uebel & Petter Krus, 2019. "Low-Level Control of Hybrid Hydromechanical Transmissions for Heavy Mobile Working Machines," Energies, MDPI, vol. 12(9), pages 1-20, May.
    10. Bedatri Moulik & Dirk Söffker, 2016. "Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application," Energies, MDPI, vol. 9(6), pages 1-33, June.
    11. Vamsi Krishna Reddy, Aala Kalananda & Venkata Lakshmi Narayana, Komanapalli, 2022. "Meta-heuristics optimization in electric vehicles -an extensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    12. Huang, Yanjun & Khajepour, Amir & Wang, Hong, 2016. "A predictive power management controller for service vehicle anti-idling systems without a priori information," Applied Energy, Elsevier, vol. 182(C), pages 548-557.
    13. 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.
    14. Baogang Li & Dongye Sun & Minghui Hu & Junlong Liu, 2018. "Research on Economic Comprehensive Control Strategies of Tractor-Planter Combinations in Planting, Including Gear-Shift and Cruise Control," Energies, MDPI, vol. 11(3), pages 1-21, March.
    15. Zhang, Wei & Wang, Jixin & Liu, Yong & Gao, Guangzong & Liang, Siwen & Ma, Hongfeng, 2020. "Reinforcement learning-based intelligent energy management architecture for hybrid construction machinery," Applied Energy, Elsevier, vol. 275(C).
    16. Chen, Zeyu & Xiong, Rui & Cao, Jiayi, 2016. "Particle swarm optimization-based optimal power management of plug-in hybrid electric vehicles considering uncertain driving conditions," Energy, Elsevier, vol. 96(C), pages 197-208.

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