Computational Design of Batteries from Materials to Systems

Kandler Smith, Shriram Santhanagopalan, Chuanbo Yang, Peter Graf, Francois Usseglio Viretta, Donal Finegan, Ahmad Pesaran, Koffi Yao, Daniel Abraham, Dennis Dees, Andy Jansen, Partha Mukherjee, Aashutosh Mistry, Ankit Verma, Josh Lamb, Eric Darcy, Qibo Li

Research output: NRELPresentation


Computer models are helping to accelerate the design and validation of next generation batteries and provide valuable insights not possible through experimental testing alone. Validated 3-D physics-based models exist for predicting electrochemical performance, thermal and mechanical response of cells and packs under normal and abuse scenarios. The talk describes present efforts to make the models better suited for engineering design, including improving their computation speed, developing faster processes for model parameter identification including under aging, and predicting the performance of a proposed electrode material recipe a priori using microstructure models.
Original languageAmerican English
Number of pages30
StatePublished - 2017

Publication series

NamePresented at the 17th Annual Advanced Automotive Battery Conference (AABC), 19-22 June 2017, San Francisco, California

NREL Publication Number

  • NREL/PR-5400-68770


  • battery
  • computer aided engineering
  • electrochemical modeling
  • lithium ion
  • mechanical crush
  • microstructure
  • safety


Dive into the research topics of 'Computational Design of Batteries from Materials to Systems'. Together they form a unique fingerprint.

Cite this