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Evaluation and Comparison of Multi-Power Source Coupling Technologies for Vehicles Based on Driving Dynamics

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  • Haoyi Zhang

    (State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing 401133, China
    State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China)

  • Hong Tan

    (State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing 401133, China
    State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China)

  • Linjie Ren

    (State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China
    Anhui Emerging Intelligent Connected New Energy Vehicle Innovation Center, Hefei 230088, China)

  • Xinglong Liu

    (State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing 100084, China
    Anhui Emerging Intelligent Connected New Energy Vehicle Innovation Center, Hefei 230088, China)

Abstract

With the growing consumer demand for enhanced driving dynamics in vehicles, optimizing powertrain configurations to balance performance, energy efficiency, and cost has become a critical challenge. Traditional internal combustion engine vehicles (ICEVs) suffer from significant energy consumption and cost penalties when improving acceleration performance. This study systematically evaluates the trade-offs between dynamic performance, energy consumption, and direct manufacturing costs across six powertrain configurations: ICEV, 48 V mild hybrid (48 V), hybrid electric vehicle (HEV), plug-in hybrid electric vehicle (PHEV), range-extended electric vehicle (REV), and battery electric vehicle (BEV). By developing a comprehensive parameterized model, we quantify the impacts of acceleration improvement on vehicle mass, energy consumption, and costs. Key findings reveal that electrified powertrains (PHEV, REV, BEV) exhibit superior cost-effectiveness and energy efficiency. For instance, improving 0–100 km/h acceleration time from 9 to 5 s reduces direct manufacturing costs by only 5.72% for BEV versus 13.38% for ICEV, while PHEV achieves a balanced compromise with 3.40% lower fuel consumption and 10.43% cost increase compared to conventional counterparts. Mechanistic analysis attributes these advantages to higher power density of electric motors and simplified energy transmission in electrified systems. This work provides data-driven insights for consumers and automakers to prioritize powertrain technologies under dynamic performance requirements, highlighting PHEV with driving range of 50 km as the optimal choice for harmonizing driving experience, energy economy, and affordability. The results of this study assist automakers in optimizing the technology pathways of vehicle powertrain, within the consumer demand for dynamic performance. This plays a crucial role in advancing the automotive industry’s overall fuel consumption and energy consumption, thereby contributing to sustainable development.

Suggested Citation

  • Haoyi Zhang & Hong Tan & Linjie Ren & Xinglong Liu, 2026. "Evaluation and Comparison of Multi-Power Source Coupling Technologies for Vehicles Based on Driving Dynamics," Sustainability, MDPI, vol. 18(2), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:2:p:602-:d:1835030
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