journal article·2020-06-21Open access

Experimental Implementation of Power-Split Control Strategies in a Versatile Hardware-in-the-Loop Laboratory Test Bench for Hybrid Electric Vehicles Equipped with Electrical Variable Transmission

Majid Vafaeipour, Mohamed El Baghdadi, Florian Verbelen, Peter Sergeant, Joeri Van Mierlo, Omar Hegazy

Applied Sciences· Volume 10· Issue 12

Abstract

The energy management strategy (EMS) or power management strategy (PMS) unit is the core of power sharing control in the hybridization of automotive drivetrains in hybrid electric vehicles (HEVs). Once a new topology and its corresponding EMS are virtually designed, they require undertaking different stages of experimental verifications toward guaranteeing their real-world applicability. The present paper focuses on a new and less-extensively studied topology of such vehicles, HEVs equipped with an electrical variable transmission (EVT) and assessed the controllability validation through hardware-in-the-loop (HiL) implementations versus model-in-the-loop (MiL) simulations. To this end, first, the corresponding modeling of the vehicle components in the presence of optimized control strategies were performed to obtain the MiL simulation results. Subsequently, an innovative versatile HiL test bench including real prototyped components of the topology was introduced and the corresponding experimental implementations were performed. The results obtained from the MiL and HiL examinations were analyzed and statistically compared for a full input driving cycle. The verification results indicate robust and accurate actuation of the components using the applied EMSs under real-time test conditions.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Electric and Hybrid Vehicle Technologies · Real-time simulation and control systems · Advanced Battery Technologies Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussel, Belgium

Department of Electromechanical Systems and Metal Engineering, EEDT Group, Ghent University, 9052 Ghent, Belgium

Flanders Make, 3001 Heverlee, Belgium

References (62)

Show source-provided references
1. Fazelpour, F., Vafaeipour, M., Rahbari, O., and Rosen, M.A. (2013, January 28–30). Intelligent optimization of charge allocation for plug-in hybrid electric vehicles utilizing renewable energy considering grid characteristics. Proceedings of the IEEE International Conference on Smart Energy Grid Engineering, Oshawa, ON, Canada.10.1109/SEGE.2013.6707913 ↗
2. Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics10.1016/j.enconman.2013.09.006 ↗
3. An optimal versatile control approach for plug-in electric vehicles to integrate renewable energy sources and smart grids10.1016/j.energy.2017.06.007 ↗
4. Nagaraj, S.C., and Detrick, B. (2009, January 7–11). HIL and RCP tools for embedded controller development in hybrid vehicles. Proceedings of the IEEE Vehicle Power and Propulsion Conference, Dearborn, MI, USA.10.1109/VPPC.2009.5289750 ↗
5. Rapid prototyping energy management system for a single shaft parallel hybrid electric vehicle using hardware-in-the-loop simulation10.4271/2013-01-0155 ↗
6. Zhao, H., Cheng, L., and Zhang, G. (2008, January 3–5). Design of a versatile test bench for hybrid electric vehicles. Proceedings of the IEEE Vehicle Power and Propulsion Conference, Harbin, China.10.1109/VPPC.2008.4677463 ↗
7. Testing embedded software: A survey of the literature10.1016/j.infsof.2018.06.016 ↗
8. Adaptive real-time optimal energy management strategy based on equivalent factors optimization for plug-in hybrid electric vehicle10.1016/j.apenergy.2017.06.106 ↗
9. HEV power management control strategy for urban driving10.1016/j.apenergy.2016.10.023 ↗
10. Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming10.1016/j.apenergy.2015.12.031 ↗
11. Analysis of the performance of different machine learning techniques for the definition of rule-based control strategies in a parallel HEV10.1016/j.egypro.2016.11.087 ↗
12. Comparative analysis on the rule-based control strategy of two typical hybrid electric vehicle powertrain10.1016/j.egypro.2016.12.065 ↗
13. Fuzzy switching of fuzzy rules for energy management in HEV10.3182/20120902-4-FR-2032.00116 ↗
14. Study of HEV power management control strategy based on driving pattern recognition10.1016/j.egypro.2016.06.062 ↗
15. Design of an energy management strategy for parallel hybrid electric vehicles using a logic threshold and instantaneous optimization method10.1007/s12239-009-0059-4 ↗
16. Application of genetic algorithm for simultaneous optimisation of HEV component sizing and control strategy10.1504/IJAP.2006.010758 ↗
17. Gao, W., and Porandla, S.K. (2005, January 7). Design optimization of a parallel hybrid electric powertrain. Proceedings of the IEEE Vehicle Power and Propulsion Conference, Chicago, IL, USA.
18. Control strategies for hybrid electric vehicles: Evolution, classification, comparison, and future trends10.1109/TVT.2007.899933 ↗
19. Energy management in plug-in hybrid electric vehicles: Recent progress and a connected vehicles perspective10.1109/TVT.2016.2582721 ↗
20. A-ECMS: An adaptive algorithm for hybrid electric vehicle energy management10.3166/ejc.11.509-524 ↗
21. Gu, B., and Rizzoni, G. (2006, January 5–10). An adaptive algorithm for hybrid electric vehicle energy management based on driving pattern recognition. Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Chicago, IL, USA.10.1115/IMECE2006-13951 ↗
22. Online optimal control of a parallel hybrid with costate adaptation rule10.3182/20100712-3-DE-2013.00134 ↗
23. Online energy management for hybrid electric vehicles10.1109/TVT.2008.919988 ↗
24. Onori, S., Serrao, L., and Rizzoni, G. (2010, January 13–15). Adaptive equivalent consumption minimization strategy for hybrid electric vehicles. Proceedings of the ASME Dynamic Systems and Control Conference, Cambridge, MA, USA.10.1115/DSCC2010-4211 ↗
25. Schupbach, R.M., and Balda, J.C. (2002, January 24–28). A versatile laboratory test bench for developing powertrains of electric vehicles. Proceedings of the IEEE 56th Vehicular Technology Conference, Vancouver, BC, Canada.
26. Moulik, B., and Söffker, D. (2016). Online power management with embedded offline-optimized parameters for a three-source hybrid powertrain with an experimental emulation application. Energies, 9.10.3390/en9060439 ↗
27. Wu, H., Zhang, H., Motevalli, V., Qian, Y., and Wolfe, A. (2013, April 08). Hybrid Electric Vehicle Powertrain Controller Development Using Hardware in the Loop Simulation. Available online: https://www.researchgate.net/publication/270686871_Hybrid_Electric_Vehicle_Powertrain_Controller_Development_Using_Hardware_in_the_Loop_Simulation.10.4271/2013-01-0156 ↗
28. Hardware-in-the-loop simulation for the design and verification of the control system of a series–parallel hybrid electric city-bus10.1016/j.simpat.2012.02.010 ↗
29. Algarny, K., Abdelrahman, A.S., and Youssef, M. (2018, January 4–8). A novel platform for power train model of electric cars with experimental validation using real-time hardware in-the-loop (HIL): A case study of GM Chevrolet Volt 2 nd generation. Proceedings of the IEEE Applied Power Electronics Conference and Exposition (APEC), San Antonio, TX, USA.10.1109/APEC.2018.8341610 ↗
30. Chacko, R.V., Sreedevi, M., and Mineeshma, G. (2014, January 16–19). Electric vehicle power train simulation in forward modelling approach to enable real-time simulation and HIL controller prototyping. Proceedings of the IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Mumbai, India.10.1109/PEDES.2014.7042039 ↗
31. Nair, V.V., and Pathiyil, P. (2015, January 27–29). High dynamic HIL model for complete software testing solution of Hev/Ev. Proceedings of the IEEE International Transportation Electrification Conference (ITEC), Chennai, India.10.1109/ITEC-India.2015.7386869 ↗
32. Model-based design validation for advanced energy management strategies for electrified hybrid power trains using innovative vehicle hardware in the loop (VHIL) approach10.1016/j.apenergy.2017.07.028 ↗
33. Supervisory control of hybrid powertrains: An experimental benchmark of offline optimization and online energy management10.1016/j.conengprac.2011.04.008 ↗
34. Power hardware-in-the-loop simulation for testing multi-source vehicles10.1016/j.ifacol.2017.08.2469 ↗
35. Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints10.1016/j.apenergy.2015.11.020 ↗
36. Flexible real-time control of a hybrid energy storage system for electric vehicles10.1049/iet-est.2012.0051 ↗
37. Vafaeipour, M., El Baghdadi, M., Verbelen, F., Sergeant, P., Van Mierlo, J., Stockman, K., and Hegazy, O. (2018, January 6–9). Technical assessment of utilizing an electrical variable transmission system in hybrid electric vehicles. Proceedings of the IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), Bangkok, Thailand.10.1109/ITEC-AP.2018.8433268 ↗
38. Vafaeipour, M., El Baghdadi, M., Van Mierlo, J., Hegazy, O., Verbelen, F., and Sergeant, P. (2019, January 8–10). An ECMS-based approach for energy management of a HEV equipped with an electrical variable transmission. Proceedings of the Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), Monte-Carlo, Monaco.10.1109/EVER.2019.8813647 ↗
39. Vafaeipour, M., Tran, D.-D., El Baghdadi, M., Verbelen, F., Sergeant, P., Stockman, K., Van Mierlo, J., and Hegazy, O. (2019, January 19–22). Optimized energy management strategy for a HEV equipped with an electrical variable transmission system. Proceedings of the 32nd Electric Vehicle Symposium (EVS32), Lyon, France.
40. Cheng, Y., Espanet, C., Trigui, R., Bouscayrol, A., and Cui, S. (2010, January 1–3). Design of a permanent magnet electric variable transmission for HEV applications. Proceedings of the IEEE Vehicle Power and Propulsion Conference, Lille, France.10.1109/VPPC.2010.5728980 ↗
41. Nordlund, E., and Eriksson, S. (2005, January 7–9). Test and verification of a four-quadrant transducer for HEV applications. Proceedings of the IEEE Vehicle Power and Propulsion Conference, Chicago, IL, USA.
42. Design analysis and experimental validation of a double rotor synchronous PM machine used for HEV10.1109/TMAG.2012.2220338 ↗
43. Verbelen, F., Vansompel, H., Abdallh, A., Stockman, K., and Sergeant, P. (2019, January 17–19). Design methodology for a PM electrical variable transmission used in HEV. Proceedings of the EEMODS, Tokyo, Japan.
44. Li, Z., Ma, Z., and Cui, S. (September, January 31). Design of hardware-in-the-loop simulation platform for Electric Variable Transmission (EVT) based HEV power train. Proceedings of the IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), Beijing, China.
45. Li, Z., Ma, Z., and Cui, S. (September, January 31). Design and research on engine emulation system of HEV power train hardware-in-the-loop simulation platform. Proceedings of the IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), Beijing, China.
46. Hoeijmakers, M.J. (2015). Rotating Electromechanical Converter. (9,018,863), U.S. Patent.
47. The electric variable transmission10.1109/TIA.2006.877736 ↗
48. Chehresaz, M. (2013). Modeling and Design Optimization of Plug-In Hybrid Electric Vehicle Powertrains, University of Waterloo.
49. Millo, F., Rolando, L., and Andreata, M. (2011). Numerical simulation for vehicle powertrain development. Numerical Analysis-Theory and Application, IntechOpen.10.5772/24111 ↗
50. Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies10.1016/j.rser.2019.109596 ↗
51. An advanced power electronics interface for electric vehicles applications10.1109/TPEL.2013.2256469 ↗
52. Optimal control for a hybrid excited dual mechanical port electric machine10.1109/TEC.2017.2651581 ↗
53. Torque analysis on a double rotor electrical variable transmission with hybrid excitation10.1109/TIE.2016.2608768 ↗
54. Control of a parallel hybrid powertrain: Optimal control10.1109/TVT.2004.827161 ↗
55. Koprubasi, K. (2008). Modeling and Control of a Hybrid-Electric Vehicle for Drivability and Fuel Economy Improvements, The Ohio State University.
56. Serrao, L., Onori, S., and Rizzoni, G. (2009, January 10–12). ECMS as a realization of Pontryagin’s minimum principle for HEV control. Proceedings of the American Control Conference, St. Louis, MO, USA.10.1109/ACC.2009.5160628 ↗
57. A comparative analysis of energy management strategies for hybrid electric vehicles10.1115/1.4003267 ↗
58. Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity10.1007/s11431-016-9141-x ↗
59. Mi, C., and Masrur, M.A. (2017). Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives, John Wiley & Sons.10.1002/9781118970553 ↗
60. Application of sliding window technique for prediction of wind velocity time series10.1007/s40095-014-0105-5 ↗
61. Verbelen, F. (2019). A Comparative Study of Mechanical and Electrical Variable Transmissions, Ghent University.
62. Battery state of charge management strategies for a real-time controller of a plug-in hybrid electric vehicle10.1016/j.egypro.2018.08.076 ↗