State-of-health aware optimal control of plug-in electric vehicles

Yanzhi Wang, Siyu Yue, Massoud Pedram

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations


Plug-in electric vehicles (PEVs) are key new energy technology to reduce the fossil fuel usage and therefore environmental pollution. The vehicle-to-grid (V2G) technology in the smart grid infrastructure can exploit the electrical energy storage ability of PEV batteries to enhance the stability and reduce peak power demand of the power grid. Through V2G, PEV owners can reduce cost through properly scheduling PEV charging (and perhaps discharging at some time) and at the same time mitigate the negative impacts on the grid. However, there are challenges with V2G services because it is not clear how much PEV battery aging, and therefore also the associated warranty, are affected during V2G operation. This paper addresses the problem of PEV charging under dynamic pricing, taking into account the degradation of battery state-of-health (SoH) during V2G operations. The objective function to minimize therefore becomes the summation of the energy during PEV charging (and perhaps discharging at some moment) and the extra cost associated with the aging of PEV battery. An optimal algorithm of PEV battery charging is derived to minimize the objective function based on convex optimization techniques. Moreover, this algorithm also accurately accounts for the power loss during charging/discharging of PEV batteries and in power conversion circuitries, which is often neglected in the reference work. Experimental results demonstrate that the proposed charging control algorithm is able to minimize the combination of electricity cost and battery aging cost, whereas a naive algorithm which only consider the electricity cost may result in as high as 9X battery aging rate.

Original languageEnglish (US)
Title of host publication2014 IEEE PES General Meeting / Conference and Exposition
PublisherIEEE Computer Society
ISBN (Electronic)9781479964154
StatePublished - Oct 29 2014
Externally publishedYes
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933


Other2014 IEEE Power and Energy Society General Meeting
Country/TerritoryUnited States
CityNational Harbor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering


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