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About BatPaC
The starting point for this work is based on the decades of battery design work headed by Paul Nelson at Argonne National Laboratory. These design models were based in Microsoft Office Excel® resulting in a flexible and straightforward format. The current effort builds on this previous experience by adding a manufacturing cost calculation as well as increasing the fidelity of the performance calculations all while maintaining efficient calculations (e.g. fractions of a second).

The cost of a battery will change depending upon the materials chemistry, battery design, and manufacturing process. Therefore, it is necessary to account for all three areas with a bottom-up cost model. Other bottom-up cost models exist but are not generally available and have not been explicitly detailed in a public document. The motivation for our approach is based on a need for a battery performance and cost model that meets the following requirements:

  1. Open and available to the entire community
  2. Transparent in the assumptions made and method of calculation
  3. Capable of designing a battery specifically for the requirements of an application
  4. Accounts for the physical limitations that govern battery performance
  5. Based on a bottom-up calculation approach to account for every cost factor.

Acknowledgements
Support from the Vehicle Technologies Program, Hybrid and Electric Systems, initially under Tien Duong and now David Howell, at the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, is gratefully acknowledged. The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under contract no. DE-AC02-06CH11357.

Disclaimer
This report and model were prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor UChicago Argonne, LLC, nor any of their employees or officers, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of document authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof, Argonne National Laboratory, or UChicago Argonne, LLC.


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