Theoretical and experimental analytical study of powertrain system by hardware-in-the-loop test bench for electric vehicles

The powertrain system in electric vehicle delivers the energy from the hybrid energy storage system (HESS) to wheels, during which the energy transforms between electricity and mechanical energy. The powertrain system determines the energy conversion efficiency of the HESS. Necessary investigation on the powertrain system should be done before further study on the HESS. The dynamic model of the powertrain system is established and validated both in Psim and Matlab/Simulink software. The control strategy of the traction motor of the powertrain system is verified in virtual vehicular environment firstly. The control approach is implemented on a dSPACE-based hardware-in-the-loop (HIL) test bench for real-time control. The simulation and experimental data both demonstrate the velocity trajectory of the drive cycles are exactly tracked. The efficiency of powertrain system is also investigated. The work in this paper provides solid foundation for further study on power split of the HESS.

[1]  Jianqiu Li,et al.  Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles , 2014 .

[2]  Zebin Yang,et al.  Precise control of a four degree-of-freedom permanent magnet biased active magnetic bearing system in a magnetically suspended direct-driven spindle using neural network inverse scheme , 2017 .

[3]  Mo-Yuen Chow,et al.  Computational intelligence-based energy management for a large-scale PHEV/PEV enabled municipal parking deck , 2012 .

[4]  Phatiphat Thounthong,et al.  Energy management of fuel cell/battery/supercapacitor hybrid power source for vehicle applications , 2009 .

[5]  O. Erdinç,et al.  A fuzzy logic based supervisory controller for an FC/UC hybrid vehicular power system , 2009 .

[6]  J.M. Miller,et al.  Hybrid electric vehicle propulsion system architectures of the e-CVT type , 2006, IEEE Transactions on Power Electronics.

[7]  S. Dusmez,et al.  Fuel cell and ultra-capacitor hybridization: A prototype test bench based analysis of different energy management strategies for vehicular applications , 2010 .

[8]  Ozan Erdinc,et al.  A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system , 2009 .

[9]  Li Yon Hardware-in-the-loop test bench research of hybrid energy storage systems in electric vehicles , 2014 .

[10]  Kun Zhuge Development of an Efficient Hybrid Energy Storage System (HESS) for Electric and Hybrid Electric Vehicles , 2013 .

[11]  D. Patterson,et al.  Preliminary Design, Simulation and Modeling of a Series Hybrid Commuter Vehicle with a Minimal IC Engine , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[12]  Ramesh C. Bansal,et al.  Damping performance analysis of battery energy storage system, ultracapacitor and shunt capacitor with large-scale photovoltaic plants , 2012 .

[13]  Yonghua Cheng,et al.  Research and test platform for hybrid electric vehicle with the super capacitor based energy storage , 2007, 2007 European Conference on Power Electronics and Applications.

[14]  Mohamed Benbouzid,et al.  A loss-minimization DTC scheme for EV induction motors , 2005 .

[15]  Yanjun Huang,et al.  A predictive power management controller for service vehicle anti-idling systems without a priori information , 2016 .

[16]  A. Bouscayrol,et al.  Different types of Hardware-In-the-Loop simulation for electric drives , 2008, 2008 IEEE International Symposium on Industrial Electronics.

[17]  Sung Chul Oh,et al.  Evaluation of motor characteristics for hybrid electric vehicles using the hardware-in-the-loop concept , 2005, IEEE Transactions on Vehicular Technology.

[18]  Demba Diallo,et al.  Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study , 2005, IEEE Transactions on Vehicular Technology.

[19]  Kyle Bradbury,et al.  Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets , 2014 .

[20]  Hongwen He,et al.  Energy management strategy research on a hybrid power system by hardware-in-loop experiments , 2013 .

[21]  Markus Özbek,et al.  Modeling, Simulation, and Concept Studies of a Fuel Cell Hybrid Electric Vehicle Powertrain , 2010 .

[22]  Nina Juul,et al.  Road transport and power system scenarios for Northern Europe in 2030 , 2012 .

[23]  Mutasim A. Salman,et al.  Fuzzy logic control for parallel hybrid vehicles , 2002, IEEE Trans. Control. Syst. Technol..

[24]  Ali Emadi,et al.  Modern electric, hybrid electric, and fuel cell vehicles : fundamentals, theory, and design , 2009 .

[25]  Tsung-Hua Hsu,et al.  Design and implementation of a novel hybrid-electric-motorcycle transmission , 2006 .

[26]  Zhihong Yu,et al.  An innovative optimal power allocation strategy for fuel cell, battery and supercapacitor hybrid electric vehicle , 2011 .

[27]  Xiaowu Zhang,et al.  A comparison study of different semi-active hybrid energy storage system topologies for electric vehicles , 2015 .

[28]  Yanjun Huang,et al.  An energy-saving set-point optimizer with a sliding mode controller for automotive air-conditioning/refrigeration systems , 2017 .

[29]  Mohammad Basiri Development of a Hardware-in-the-loop Platform for Hybrid and Electric Vehicles , 2013 .

[30]  Huan Liu,et al.  Fuzzy sliding mode control of real vehicle semi-active suspensions : comparison with output feedback sliding mode control , 2005 .

[31]  Yanjun Huang,et al.  Optimal energy-efficient predictive controllers in automotive air-conditioning/refrigeration systems , 2016 .

[32]  Demba Diallo,et al.  A Loss-Minimization DTC Scheme for EV Induction Motors , 2005, IEEE Transactions on Vehicular Technology.

[33]  Makbul Anwari,et al.  A parallel energy-sharing control for fuel cell-battery-ultracapacitor hybrid vehicle , 2011, 2011 IEEE Energy Conversion Congress and Exposition.

[34]  Alon Kuperman,et al.  Battery–ultracapacitor hybrids for pulsed current loads: A review , 2011 .