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Battery life predicted with resistance measurement

Researchers have developed a method for predicting how changes to manufacturing processes and materials will impact battery life.

Michigan
United-states
Andrew-weng
Anna-stefanopoulou
William-clay-ford-professor-of-technology
University-of-michigan
William-clay-ford-professor

Quick, Inexpensive Technique to Predict the Impact on Battery Life

At the University of Michigan (U-M), researchers have come up with a new method to meet the increasing demand for electric vehicle batteries. This technique helps predict how variations to manufacturing processes and materials will influence the life of a battery.

Michigan
United-states
Andrew-weng
Anna-stefanopoulou
Skyla-baily
Um-battery-laboratory
William-clay-ford-professor-of-technology
National-science-foundation
Stanford-university
Reuters
University-of-michigan
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