A unified quantitative analysis of fuel economy for hybrid electric vehicles based on energy flow

Abstract Analyzing the impact of energy-saving factors on fuel consumption for hybrid electric vehicles (HEVs) is essential to revealing their inherent energy-saving mechanisms, and it is a significant reference for exploring the energy-saving potential and the direction of optimization calibration. This paper focuses on a unified quantitative exploration of the factors affecting the fuel economy. First, the coupling characteristics in energy conversion and losses are investigated based on energy flows, and a concept of average comprehensive transmission efficiency (ACTE) is defined. Second, a novel theoretical fuel consumption model is developed and the fuel-saving contribution rate (FSCR) is proposed, achieving the purpose of decoupling analysis of the fundamental fuel consumption impact factor. Finally, to verify the analysis method proposed in this paper, the results are compared between simulation and theoretical calculations on three typical hybrid electric buses, including parallel, series/parallel, and power-split HEVs. The comparison results demonstrate that the developed theoretical model has remarkable consistency with the simulation model. Furthermore, specific analyses of different impact factors are conducted, quantitatively deepening the understanding of factors affecting fuel economy and quickly facilitating the future economic performance prediction of new-generation HEVs.

[1]  Tomaž Katrašnik,et al.  Analytical framework for analyzing the energy conversion efficiency of different hybrid electric vehicle topologies , 2009 .

[2]  V. Thomas,et al.  Parametric modeling approach for economic and environmental life cycle assessment of medium-duty truck electrification , 2017 .

[3]  A. Majumdar,et al.  Opportunities and challenges for a sustainable energy future , 2012, Nature.

[4]  David E. Smith,et al.  The Evaluation of Developing Vehicle Technologies on the Fuel Economy of Long-Haul Trucks , 2015 .

[5]  Tatsuo Teratani,et al.  Energy-saving Technologies for Automobiles , 2008 .

[6]  Ajay Babu,et al.  Energy and fuel efficient parallel mild hybrids for urban roads , 2016 .

[7]  Lipeng Zhang,et al.  Innovation design and optimization management of a new drive system for plug-in hybrid electric vehicles , 2019, Energy.

[8]  A. K. Gupta,et al.  Analysis of circulating power within hybrid electric vehicle transmissions , 2013 .

[9]  O. Tatari,et al.  Well-to-wheel water footprints of conventional versus electric vehicles in the United States: A state-based comparative analysis , 2018, Journal of Cleaner Production.

[10]  Bin Li,et al.  A review of power management strategies and component sizing methods for hybrid vehicles , 2018, Renewable and Sustainable Energy Reviews.

[11]  Chao Yang,et al.  Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route , 2015, IEEE Transactions on Vehicular Technology.

[12]  C. Colpan,et al.  The effect of gear ratıos on the exhaust emıssıons and fuel consumptıon of a parallel hybrid vehicle powertrain , 2019, Journal of Cleaner Production.

[13]  A. Irimescu,et al.  Automotive transmission efficiency measurement using a chassis dynamometer , 2011 .

[14]  Jingping Liu,et al.  A comparative study on the energy flow of a conventional gasoline-powered vehicle and a new dual clutch parallel-series plug-in hybrid electric vehicle under NEDC , 2020 .

[15]  Guodong Yin,et al.  A survey of powertrain configuration studies on hybrid electric vehicles , 2020 .

[16]  Pierluigi Pisu,et al.  Model-based design validation for advanced energy management strategies for electrified hybrid power trains using innovative vehicle hardware in the loop (VHIL) approach , 2017 .

[17]  Kody M. Powell,et al.  Dynamic simulation, control, and performance evaluation of a synergistic solar and natural gas hybrid power plant , 2019, Energy Conversion and Management.

[18]  Xiaohua Zeng,et al.  Multi-factor integrated parametric design of power-split hybrid electric bus , 2016 .

[19]  Qin Zhaobo,et al.  Simultaneous optimization of topology, control and size for multi-mode hybrid tracked vehicles , 2018 .

[20]  Lino Guzzella,et al.  On Implementation of Dynamic Programming for Optimal Control Problems with Final State Constraints , 2010 .

[21]  Hongwen He,et al.  Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus , 2018, Applied Energy.

[22]  Kumeresan A. Danapalasingam,et al.  A review on hybrid electric vehicles architecture and energy management strategies , 2016 .

[23]  Willett Kempton,et al.  Measurement of power loss during electric vehicle charging and discharging , 2017 .

[24]  Hongwen He,et al.  Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming , 2017 .

[25]  Xiaosong Hu,et al.  Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus , 2019, Applied Energy.

[26]  Chao Chen.  Power flow and efficiency analysis of epicyclic gear transmission with split power , 2013 .

[27]  Paul D. Walker,et al.  Parametric design and regenerative braking control of a parallel hydraulic hybrid vehicle , 2020 .

[28]  Dongpu Cao,et al.  Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear , 2018 .