Abstract
The rapid advent of computational power and re-chargeable lithium batteries was in many ways simultaneous in the early 1990s — but not coupled to each Other to a large extent at the time of the breakthroughs. However, as the new computers and computational methods were efficient, these fast became used in the field to model well-known battery materials and phenomena, often with the aim to explain experimental data. Later there were also new battery materials or demands emerging, where computations were foreseen to possibly have a predictive power. As another way of thinking the models needed to correctly look at complex battery phenomena spurred the development of computational strategies and methods.
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Acknowledgements
The writing of this chapter was made possible due to funding to both J.S. and P.J. by several Swedish sources which hereby are gratefully acknowledged: the Swedish Hybrid Vehicle Centre (SHC), Chalmers Area of Advance Transport, the Swedish Energy Agency (STEM), and the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS). Gothenburg, February 22nd 2014.
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Scheers, J., Johansson, P. (2014). Prediction of Electrolyte and Additive Electrochemical Stabilities. In: Jow, T., Xu, K., Borodin, O., Ue, M. (eds) Electrolytes for Lithium and Lithium-Ion Batteries. Modern Aspects of Electrochemistry, vol 58. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0302-3_9
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