@misc{6ad5ca8d56764f4b88953280736dafa2,
title = "Computational Design of Batteries from Materials to Systems",
abstract = "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.",
keywords = "battery, computer aided engineering, electrochemical modeling, lithium ion, mechanical crush, microstructure, safety",
author = "Kandler Smith and Shriram Santhanagopalan and Chuanbo Yang and Peter Graf and {Usseglio Viretta}, Francois and Donal Finegan and Ahmad Pesaran and Koffi Yao and Daniel Abraham and Dennis Dees and Andy Jansen and Partha Mukherjee and Aashutosh Mistry and Ankit Verma and Josh Lamb and Eric Darcy and Qibo Li",
year = "2017",
language = "American English",
series = "Presented at the 17th Annual Advanced Automotive Battery Conference (AABC), 19-22 June 2017, San Francisco, California",
type = "Other",
}