Abstract
Validation is an integral part of any study dealing with modeling or development of new control algorithms for lithium ion batteries. Without proper validation, the impact of a study could be drastically reduced. In a perfect world, validation should involve testing in deployed systems, but it is often unpractical and costly. As a result, validation is more often conducted on single cells under control laboratory conditions. Laboratory testing is a complex task, and improper implementation could lead to fallacious results. Although common practice in open literature, the protocols used are usually too quickly detailed and important details are left out. This work intends to fully describe, explain, and exemplify a simple step-by-step single apparatus methodology for commercial battery testing in order to facilitate and standardize validation studies.
Highlights
Today’s world relies more and more on energy storage technologies and, with several government incentives for larger integration of zero-emission electricity storage in electromobility and stationary applications, the demand will keep increasing in the future [1]
Laboratory testing at scale is often not possible because of logistical and cost limitations; most of the testing must be performed at a much smaller scale and under slightly different conditions. This raises concerns about the presumptions that the tested cells are representative of the batch, the duty cycle is relevant to the application, and the pack behaves to single cells at scale
It must be noted that incremental capacity (IC) or DV analysis are usually chemistry specific and, as such, results should never be extrapolated to other chemistries without careful considerations and verifications
Summary
Today’s world relies more and more on energy storage technologies and, with several government incentives for larger integration of zero-emission electricity storage in electromobility and stationary applications, the demand will keep increasing in the future [1]. Laboratory testing at scale is often not possible because of logistical and cost limitations; most of the testing must be performed at a much smaller scale and under slightly different conditions This raises concerns about the presumptions that the tested cells are representative of the batch, the duty cycle is relevant to the application, and the pack behaves to single cells at scale. This is meant to provide publications, a testing strategy to address all these issues together This is meant newcomers to provide and non-battery specialists some details, definitions, and explanations on how to simple newcomers and non-battery specialists some details, definitions, and explanations onperform how to perform and effective battery testing in order to improve validation studies.
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