Skip to main content

Advertisement

SpringerLink
Log in

Multi-objective component sizing of plug-in hybrid electric vehicle for optimal energy management

  • Original Paper
  • Published:
Clean Technologies and Environmental Policy Aims and scope Submit manuscript

An Erratum to this article was published on 11 June 2016

Abstract

This paper presents a methodology for component sizing optimization of a parallel plug-in hybrid electric vehicle by considering it as a multi-objective optimization problem. In this approach, two objective functions are defined to minimize the drivetrain cost, fuel consumption, and exhaust emissions simultaneously. Also, the driving performance requirements are considered as constraints. In addition, fuzzy logic controller including blended control strategy is developed for the PHEV. Finally, by means of multi-objective particle swarm optimization algorithm, the best choices of components are selected for 32 miles of the both TEH-CAR and UDDS driving cycles. Simulation results demonstrate the effectiveness and practicality of the approach, which prepare different optimal component sizes with various drivetrain costs, equivalent fuel consumption, and exhaust emissions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Arslan O, Karasan OE (2013) Cost and emission impacts of virtual power plant formation in plug-in hybrid electric vehicle penetrated networks. Energy 60:116–124

    Article  Google Scholar 

  • Cagnina L, Esquivel SA (2005) Particle swarm optimizer for multi-objective optimization. J C S 5:204–210

    Google Scholar 

  • Celli G, Ghiani E, Pilo F, Pisano G, Soma GG (2012) Particle swarm optimization for minimizing the burden of electric vehicles in active distribution networks. Power and Energy Society General Meeting, IEEE, pp 1–7

    Google Scholar 

  • Coello CAC, Toscano G, Lechuga MS (2004) Handling multiple objectives with particle swarm optimization. IEEE Trans Ind Electron 8:256–279

    Google Scholar 

  • Cong H, Hewu W, Minggao O (2013) Survey of daily vehicle travel distance and impact factors in Beijing. Adv Automot Control 7:35–40

    Google Scholar 

  • Deepanjan M, Majhi BK, Dutta A, Mnadal R, Jash T (2014) Study on possible economic and environmental impacts of electric vehicle infrastructure in public road transport in Kolkata. Clean Technol Environ Policy 17:1093–1101

    Google Scholar 

  • DELPHI innovation for the real world (2014–2015). Worldwide emission standard Passenger cars and light duty vehicles. http://delphi.com/pdf/emissions/Delphi-Passenger-Car-Light-Duty-Truck-Emissions-Brochure-2014-2015.pdf, (accessed on May 7, 2015)

  • Desai C (2010) Design and optimization of hybrid electric vehicle drivetrain and control strategy parameters using evolutionary algorithms, A Thesis of Master of Applied Science, Concordia University

  • Duval M (2004) Advanced batteries for electric-drive vehicles: a technology and cost-effectiveness assessment for battery electric vehicles, power assist hybrid electric vehicles and plug-in hybrid electric vehicles. EPRI Technical Report, Palo Alto 1009299

    Google Scholar 

  • Ehsani M, Gao Y, Emadi A (2010) Modern electric, hybrid electric, and fuel cell vehicle: fundamentals. CRC Press, Theory and Design

    Google Scholar 

  • Fernández IJ, Calvillo CF, Sánchez-Miralles A, Boa J (2013) Capacity fade and aging models for electric batteries and optimal charging strategy for electric vehicles. Energy 60:35–43

    Article  Google Scholar 

  • Gao Y, Ehsani M (2011) Design and control methodology of plug-in hybrid electric vehicles. IEEE Trans Ind Electron 57:633–640

    Google Scholar 

  • Golbuff S (2006) Optimization of a plug-in hybrid electric vehicle. M.Sc, Thesis

    Google Scholar 

  • Haaren R (2012) Assessment of electric cars’ range requirements and usage patterns based on driving behavior, recorded in the National Household Travel Survey

  • Hemelic J, Kreith F (2011) Potential benefits of plug-in hybrid electric vehicles for consumers and electric power utilities. J Energy Resour Technol 133:031001

    Article  Google Scholar 

  • Hu X, Murgovski N, Johannesson L, Egardt B (2013) Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes. Appl Energy 111:1001–1009

    Article  Google Scholar 

  • Hung YH, Wu CH (2012) An integrated optimization approach for a hybrid energy system in electric vehicles. Appl Energy 98:479–490

    Article  Google Scholar 

  • Jain M, Desani C, Kharmaand N, Williamson SS, (2009) Optimal powertrain component sizing of a fuel cell plug-in hybrid electric vehicle using multi-objective genetic algorithm. Industrial Electronics, IECON ‘09. 35th Annual Conference of IEEE, 978-1-:3741-3746

  • Jong R, Åhman M, Jacobs R, Dumitrescu E (2009) Hybrid electric vehicles: an overview of current technology and its application in developing and transitional countries, UNEP

  • Kennedy J (1997) The particle swarm: social adaption of knowledge, in Proceedings IEEE International Conference on Evolutionary Computation, Indianapolis, 303–308

  • Khayyam H, Bab-Hadiashar A (2014) Adaptive intelligent energy management system of plug-in hybrid electric vehicle. Energy 69:319–335

    Article  Google Scholar 

  • Kim M, Sohn YJ, Lee WY, Kim CS (2008) Fuzzy control based engine sizing optimization for a fuel cell/battery hybrid mini-bus. J Power Sources 178:706–710

    Article  CAS  Google Scholar 

  • Lee DH, Sul SK (1998) Fuzzy-logic-based torque control strategy for parallel type hybrid electric vehicle. IEEE Trans Ind Electron 45:625–632

    Article  Google Scholar 

  • Lee DH, Kim NW, Jeong JR, Park YI, Cha SW (2013) Component size and engine optimal operation line analysis for a plug-in hybrid electric transit bus. Int J Automot Technol 14:459–469

    Article  Google Scholar 

  • Madanipour V, Montazeri-Gh M, Mahmoodi-k M (2015) Optimization of the component sizing for a plug-in hybrid electric vehicle using a genetic algorithm. J Automob Eng 228:1034–1050

    Google Scholar 

  • Malikopoulos AA (2013) Impact of component size in plug in hybrid electric vehicles for energy resource and greenhouse emissions reduction. J Energy Resour Technol 135:041201

    Article  Google Scholar 

  • Markel T (2006) Plug-In HEV vehicle design options and expectations. ZEV Technology Symposium”, California Air Resources Board, Sacramento, CA, paper No. NREL/PR-540-40630

  • Montazeri-Gh M, Mahmoodi-K M (2015) An optimal energy management development for various configuration of plug-in and hybrid electric vehicle. J Cent South Univ 22:1737–1747

    Article  Google Scholar 

  • Montazeri-Gh M, Naghizadeh M (2007) Development of car driving cycle for city of Tehran. Int J Environ Pollut 30:106–118

    Article  CAS  Google Scholar 

  • Montazeri-Gh M, Poursamad A (2005) Optimization of component sizes in parallel hybrid electric vehicles via genetic algorithms. Proceedings of 2005 ASME International Mechanical Engineering Congress and Exposition, Orlando, Florida USA, Paper No. IMECE2005-82338:225-231

  • Moore TC, Lovins A (1995) Vehicle design strategies to meet and exceed PNGV goals. SAE Technical paper 951906

  • Murgovski N, Johannesson L, Sjoberg J, Egardt B (2012) Component sizing of a plug-in hybrid electric powertrain via convex optimization. Mechatronics 22:106–120

    Article  Google Scholar 

  • Redelbach M, Ozdemir ED, Friedrich HE (2014) Optimizing battery sizes of plug-in hybrid and extended range electric vehicles for different user types. Energy Policy 73:158–168

    Article  Google Scholar 

  • Ribau JP, Sousa JMC, Silva CM (2013) Plug-in hybrid vehicle powertrain design optimization: energy consumption and cost. Proceedings of the FISITA 2012 World Automotive Congress, 191:595–613

  • Ribau JP, Silva CM, Sousa JMC (2014) Efficiency, cost and life cycle CO2 optimization of fuel cell hybrid and plug-in hybrid urban buses. Appl Energy 129:320–335

    Article  CAS  Google Scholar 

  • Rodrigues AC, Silva D, Neto L, Diniz A, Sodre J (2015) A review on electric vehicles and their interaction with smart grids: the case of Brazil. Clean Technol Environ Policy 17(4):841–857

    Article  Google Scholar 

  • Schmidt R (2008) Information technology energy usage and our planet, In: Thermal and thermo mechanical phenomena in electronic systems, 2008. ITHERM 2008. 11th intersociety conference on

  • Shi G, Jing Y, Xu A, Ma J (2006) Study and simulation of based-fuzzy-logic parallel hybrid electric vehicles control strategy. Proceedings of the Sixth International on Intelligent Systems Design and Application, ISDA’06, Jinan, China, 1:280–284

  • Simpson A (2006) Cost-benefit analysis of plug-in hybrid electric vehicle technology. 22nd international battery, hybrid and fuel cell electric vehicle symposium and exposition. Yokohama, Japan, paper No. NREL/CP-540-40485

  • Song D, Al-Sayed M (2002) Multi-objective optimization for automotive performance. Int J Vehicle Design 30:291–308

    Article  Google Scholar 

  • ThermoAnalitics (2006) Inc. Battery types and characteristics http://www.thermoanalytics.com/support/publications/batterytypesdoc.html (accessed on December 21, 2013)

  • Tie SF, Tan CH (2013) A review of energy sources and energy management system in electric vehicles. Renew Sustain Energy Rev 20:82–102

    Article  Google Scholar 

  • Wirasingha SG, Emadi A (2011) Classification and review of control strategies for plug-in hybrid electric vehicles. IEEE Trans Veh Technol 60:111–122

    Article  Google Scholar 

  • Wu X, Cao B, Li X, Xu X, Ren X (2011) Component sizing optimization of plug-in hybrid electric vehicles. Appl Energy 88:799–804

    Article  Google Scholar 

  • Xue N, Du W, Greszler TA, Shyy W, Martins JRRA (2014) Design of a lithium-ion battery pack for PHEV using a hybrid optimization method. Appl Energy 115:591–602

    Article  Google Scholar 

  • Zonooz H, Zeranezhad M, Taee H, khodapanah M, (2009) Externalities of transportation by private vehicle in Tehran. J Quant Econ 8:51–77 [In Persian]

Download references

Author information

Authors and Affiliations

  1. Young Researchers and Elite Club, Hashtgerd Branch, Islamic Azad University, Alborz, Iran

    Vahid Madanipour

  2. Systems Simulation and Control Laboratory, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran

    Morteza Montazeri-Gh & Mehdi Mahmoodi-k

Authors
  1. Vahid Madanipour
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Morteza Montazeri-Gh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mehdi Mahmoodi-k
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vahid Madanipour.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Madanipour, V., Montazeri-Gh, M. & Mahmoodi-k, M. Multi-objective component sizing of plug-in hybrid electric vehicle for optimal energy management. Clean Techn Environ Policy 18, 1189–1202 (2016). https://doi.org/10.1007/s10098-016-1115-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10098-016-1115-1

Keywords

Search

Navigation