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Modeling, control, and performance of a novel architecture of hybrid electric powertrain system

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  • Yi, Chenyu
  • Epureanu, Bogdan I.
  • Hong, Sung-Kwon
  • Ge, Tony
  • Yang, Xiao Guang

Abstract

Hybrid electric vehicles (HEVs) have become increasingly popular due to their high fuel economy performance. HEVs typically fall into three categories according to their powertrain configuration, namely serial, parallel, and power-split hybrid. All these configurations use small internal combustion engines (ICEs), which can suffer from high torque fluctuations detrimental for noise, vibration and harshness performance. This paper introduces a novel architecture of hybrid electric powertrain systems (patent pending) which suppresses torque fluctuations and carries out the functionality of hybrid driving. This new hybrid architecture conceptually lies between a serial and a power-split. The new system uses an ICE and two electric machines, including one with a rotating stator, and has the functionalities of existing hybrid powertrains, including transmission, boost, regenerative braking. The paper presents a model for this new powertrain, and a unique controller implemented in MATLAB Simulink®. A specially designed ruled-based multi-state controller is included in the model to achieve control and enhance fuel economy. Results of drive cycle simulations show the systems performance including torque fluctuation suppression and great fuel economy.

Suggested Citation

  • Yi, Chenyu & Epureanu, Bogdan I. & Hong, Sung-Kwon & Ge, Tony & Yang, Xiao Guang, 2016. "Modeling, control, and performance of a novel architecture of hybrid electric powertrain system," Applied Energy, Elsevier, vol. 178(C), pages 454-467.
    • Handle: RePEc:eee:appene:v:178:y:2016:i:c:p:454-467
    DOI: 10.1016/j.apenergy.2016.06.068
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    References listed on IDEAS

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    Cited by:

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    2. Yuan Qiao & Yizhou Song & Kaisheng Huang, 2019. "A Novel Control Algorithm Design for Hybrid Electric Vehicles Considering Energy Consumption and Emission Performance," Energies, MDPI, vol. 12(14), pages 1-28, July.
    3. Wang, Siyang & Lin, Xianke, 2020. "Eco-driving control of connected and automated hybrid vehicles in mixed driving scenarios," Applied Energy, Elsevier, vol. 271(C).
    4. Abdul-Manan, Amir F.N. & Won, Hyun-Woo & Li, Yang & Sarathy, S. Mani & Xie, Xiaomin & Amer, Amer A., 2020. "Bridging the gap in a resource and climate-constrained world with advanced gasoline compression-ignition hybrids," Applied Energy, Elsevier, vol. 267(C).
    5. Zhang, Jin & Wang, Zhenpo & Liu, Peng & Zhang, Zhaosheng & Li, Xiaoyu & Qu, Changhui, 2019. "Driving cycles construction for electric vehicles considering road environment: A case study in Beijing," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Li, Liang & Wang, Xiangyu & Xiong, Rui & He, Kai & Li, Xujian, 2016. "AMT downshifting strategy design of HEV during regenerative braking process for energy conservation," Applied Energy, Elsevier, vol. 183(C), pages 914-925.

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