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Optimal control of integrated energy management/mode switch timing in a three-power-source hybrid powertrain

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  • Hung, Yi-Hsuan
  • Tung, Yu-Ming
  • Chang, Chun-Hsin

Abstract

This study designed an efficient, easily implementable online optimal control strategy for three-power-source hybrid electric powertrains. The energy improvement of optimal energy management and integrated optimal energy management/mode switch timing relative to the energy consumption in rule-based control was evaluated. First, a control-oriented vehicle model with seven subsystems was developed. For achieving rule-based control, the torque distribution among the engine, motor, and generator was designed according to performance maps of power sources. To conduct power allocation of three sources, two power-split ratios were obtained. Furthermore, for switching between three operation modes (hybrid, electric vehicle, and range extension modes), two hysteresis zones based on the required power and battery state-of-charge were used with four designed variables (boundaries). A global search method was used for the optimization. A cost function with a physical-constraint penalty was used to maximize the travel distance. A simulation performed using nested-structure for-loop programs showed that the mileage extension (energy improvement) for the optimal energy management and integrated optimal energy management/mode switch timing relative to the mileage in rule-based control for two driving cycles, NEDC and FTP-75, were [26.32%, 30.52%] and [17.22%, 20.68%], respectively. The improvements of CO2 reduction were [26.34%, 27.10%] and [23.47%, 24.12%], respectively, thus proving that this study significantly reduced energy consumption and pollutant emission by employing an easily designed control strategy. Online parameter tuning and implementation of optimal energy management in a real vehicle will be conducted in the future.

Suggested Citation

  • Hung, Yi-Hsuan & Tung, Yu-Ming & Chang, Chun-Hsin, 2016. "Optimal control of integrated energy management/mode switch timing in a three-power-source hybrid powertrain," Applied Energy, Elsevier, vol. 173(C), pages 184-196.
    • Handle: RePEc:eee:appene:v:173:y:2016:i:c:p:184-196
    DOI: 10.1016/j.apenergy.2016.04.025
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    References listed on IDEAS

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    1. Hung, Yi-Hsuan & Wu, Chien-Hsun, 2012. "An integrated optimization approach for a hybrid energy system in electric vehicles," Applied Energy, Elsevier, vol. 98(C), pages 479-490.
    2. Hutchinson, Tim & Burgess, Stuart & Herrmann, Guido, 2014. "Current hybrid-electric powertrain architectures: Applying empirical design data to life cycle assessment and whole-life cost analysis," Applied Energy, Elsevier, vol. 119(C), pages 314-329.
    3. 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.
    4. Chen, Bo-Chiuan & Wu, Yuh-Yih & Tsai, Hsien-Chi, 2014. "Design and analysis of power management strategy for range extended electric vehicle using dynamic programming," Applied Energy, Elsevier, vol. 113(C), pages 1764-1774.
    5. Sheu, Kuen-Bao & Hsu, Tsung-Hua, 2006. "Design and implementation of a novel hybrid-electric-motorcycle transmission," Applied Energy, Elsevier, vol. 83(9), pages 959-974, September.
    6. Chung, Cheng-Ta & Hung, Yi-Hsuan, 2015. "Performance and energy management of a novel full hybrid electric powertrain system," Energy, Elsevier, vol. 89(C), pages 626-636.
    7. Chen, Syuan-Yi & Hung, Yi-Hsuan & Wu, Chien-Hsun & Huang, Siang-Ting, 2015. "Optimal energy management of a hybrid electric powertrain system using improved particle swarm optimization," Applied Energy, Elsevier, vol. 160(C), pages 132-145.
    8. Torres, J.L. & Gonzalez, R. & Gimenez, A. & Lopez, J., 2014. "Energy management strategy for plug-in hybrid electric vehicles. A comparative study," Applied Energy, Elsevier, vol. 113(C), pages 816-824.
    9. Onat, Nuri Cihat & Kucukvar, Murat & Tatari, Omer, 2015. "Conventional, hybrid, plug-in hybrid or electric vehicles? State-based comparative carbon and energy footprint analysis in the United States," Applied Energy, Elsevier, vol. 150(C), pages 36-49.
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    9. Feiyan Qin & Guoqing Xu & Yue Hu & Kun Xu & Weimin Li, 2017. "Stochastic Optimal Control of Parallel Hybrid Electric Vehicles," Energies, MDPI, vol. 10(2), pages 1-16, February.

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