publication . Other literature type . 2010

Simulation and Comparison of HEV Battery Control for Best Fuel Economy and Longer Battery Life

Adel, Boukehili; Youtong, Zhang; shuai, Sun;
Open Access English
  • Published: 25 Jun 2010 Journal: World Electric Vehicle Journal (issn: 2032-6653, Copyright policy)
  • Publisher: Multidisciplinary Digital Publishing Institute
knowing that when (SOCmin) is too low (around SOCmin=0.2) we get good fuel economy per one speed cycle but the battery dies soon and cannot perform a lot of cycles, but when (SOCmin) is high (around SOCmin=0.8) the battery can survive for a larger number of speed cycle but with poor fuel economy per cycle. The objective of this paper is to propose a method to investigate and solve this problem by simulation using Simulink environment
free text keywords: Battery ageing, HEV Battery Control, HEV Simulation, Ni-MH Battery

[1] S Drouilhet and B Johnson “A battery life prediction method for hybrid power applications” Proceedings of the 35th AIAA Aerospace Sciences Meeting & Exhibit, Reno, NV, 1997

[2] Meisam Amiri, Mohsen Esfahanian Mohammad Reza Hairi-Yazdi, Vahid Esfahanian “Minimization of power losses in hybrid electric vehicles in view of the prolonging of battery life” Journal of Power Sources 190 (2009) 372-379

[3] R. Somogye “An Aging Model of Ni-MH Batteries for Use in Hybrid-Electric Vehicles”, Master Thesis, The Ohio State University, Columbus, 2004

[4] Boukehili Adel, Zhang Youtong and Sun shuai 'Parallel HEV Controller Modeling for Power Management' Proceedings of the 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition, Shenzhen, China. 2010

[5] J. Kopera, 'Considerations for the Utilization of NiMH Battery Technology in Stationary Applications'. Cobasys. Orion, MI. 1999. Boukehili Adel Is a Ph.D. student at Beijing Institute of Technology, China; he received the "Ingénieur d'etat" degree (with honors) in mechanic system from Military Polytechnic School of Algiers, (Algeria). His research interests include the study of hybrid electric vehicle,

Email: Sun Shuai Ph.D degree Engine lab, Beijing Institute Technology Beijng, China 100081 Tel:010-68915645

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