Electric Vehicle Charge Optimization Including Effects of Lithium-Ion Battery Degradation

Anderson Hoke, Alexander Brissette, Dragan Maksimović, Annabelle Pratt, Kandler Smith

Research output: Contribution to conferencePaperpeer-review

138 Scopus Citations


This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of battery degradation using a simplified lithium-ion battery lifetime model. The simple battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.

Original languageAmerican English
Number of pages8
StatePublished - 2011
Event7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011 - Chicago, IL, United States
Duration: 6 Sep 20119 Sep 2011


Conference7th IEEE Vehicle Power and Propulsion Conference, VPPC 2011
Country/TerritoryUnited States
CityChicago, IL

NREL Publication Number

  • NREL/CP-5400-51861


  • charge pattern optimization
  • lithium-ion battery degradation
  • plug-in hybrid electric vehicles


Dive into the research topics of 'Electric Vehicle Charge Optimization Including Effects of Lithium-Ion Battery Degradation'. Together they form a unique fingerprint.

Cite this