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Performance optimization of mild hybrid passenger vehicle by dual control strategy for city driving cycle

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  • Shanu, Pataparambath Noyalraj
  • Senthilkumar, Subramaniam

Abstract

The automobile industry is facing challenges owing to stringent emission regulations and adaptation to the evolving technologies. The launched hybrid vehicles are facing challenges regarding the cost-fuel benefit trade-off as well as the complexity in packaging the E-Machine between Internal Combustion Engine (ICE) and transmission system. The P3 hybrid configuration with AMT system is a way to achieve better drivability and fuel benefit. This paper focuses on development of Dual Control Strategy (DCS) for performance improvement in retrofitted 48 V P3 hybrid AMT vehicle. The DCS is developed based on rule based approach and Adaptive-Equivalent fuel Consumption Minimization Strategy (A-ECMS). The proposed control strategy includes decision making of mode shift between electric and ICE mode, optimal torque distribution between ICE and E-machine, equivalence cost factor computation with kinetic energy at the wheel and drivability consistency subjective to system limits during E-Creep, E-Launch and mode shift. The overall energy transfer efficiency to the wheels is improved by considering the global constraint, State of Charge (SOC) difference and the local constraint of 48 V battery, E-Machine and ICE. The 48 V P3 hybrid AMT vehicle with DCS can provide 10 kW power during torque assist or electric drive and −12 kW during recuperation or ICE mode, which results an elevated real time fuel economy by 66.7% and promises a improved driving performance in Bangalore city Driving Cycle (BDC).

Suggested Citation

  • Shanu, Pataparambath Noyalraj & Senthilkumar, Subramaniam, 2021. "Performance optimization of mild hybrid passenger vehicle by dual control strategy for city driving cycle," Energy, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:energy:v:214:y:2021:i:c:s0360544220320600
    DOI: 10.1016/j.energy.2020.118953
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    Cited by:

    1. Baek, Seungju & Lee, Sanguk & Shin, Myunghwan & Lee, Jongtae & Lee, Kihyung, 2022. "Analysis of combustion and exhaust characteristics according to changes in the propane content of LPG," Energy, Elsevier, vol. 239(PC).
    2. Alcázar-García, Désirée & Romeral Martínez, José Luis, 2022. "Model-based design validation and optimization of drive systems in electric, hybrid, plug-in hybrid and fuel cell vehicles," Energy, Elsevier, vol. 254(PA).
    3. Miranda, Matheus H.R. & Silva, Fabrício L. & Lourenço, Maria A.M. & Eckert, Jony J. & Silva, Ludmila C.A., 2022. "Electric vehicle powertrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle," Energy, Elsevier, vol. 238(PC).

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