Optimized dynamic battery model suited for power based vehicle energy simulation

Y. Guezennec, W. Choi, T. Choi

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Ever increasing demand for the petroleum is causing faster than expected oil shortages in the supply and demand balance around the world and furthermore, many specialists in the field of oil production such as Association for the Study of Peak Oil and World Energy Outlook are claiming that the petroleum is around the peak of its production (Figure 1). Such shortage made the greatest impact on the gasoline price hikes at the gas pump and thus, this impact was felt by the consumers severely and became the greatest motivation for automotive industries to strive to pioneer the researches for the next generation vehicle configurations ranging from HEV, PHEV, Pure EV to FCHEV (collectively noted as xEV). While the great deal of researches has been carried over the last few decades, it is still far from mass productions for consumer use except for the HEV mainly due to the high cost involved with other types of xEV configurations. Therefore, it is critical to design the vehicle to maximize the use of each component at its highest point regardless of any cost scenarios and it is clear that this optimization can only be achieved through the accurate energy balance simulation for a specific target vehicle prior to the actual hardware implementation. In this paper, it is our intention to introduce modified dynamic battery modeling scheme that would provide a more accurate way of simulating the battery behavior when used in the vehicle energy simulation system. Starting from a typical battery dynamic model to predict the voltage given an imposed current request, we have introduced a new scheme to establish the relationship between the voltage and the power (rather than the current) requested by the vehicle simulation system. The proposed scheme handles the power request from the vehicle simulator considering the dynamic battery characteristics and in turn, contributes to the better estimation of the current integrated energy usage and battery SOC level in the given battery dynamic system used in the vehicle energy simulation system.

Original languageEnglish
Pages (from-to)133-141
Number of pages9
JournalInternational Journal of Automotive Technology
Issue number1
StatePublished - Jan 2012

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT−This work was supported (in part) by the new faculty research program 2010 of Kookmin University in Korea.


  • Dynamic battery modeling
  • EV
  • Forward vehicle simulation
  • HEV
  • PHEV
  • Vehicle energy management


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