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U Mich generic battery-cycling optimization framework could reduce EV battery testing time by about 75%

Researchers at the University of Michigan have developed an optimized generic battery cycling framework that could reduce the time for both simulation and physical testing of new electric vehicle battery designs by about 75%. The optimization framework could significantly reduce the cost of assessing how battery configurations will perform over...
United States Wei Lu Changyu Deng Lg Energy Solution University Of Michigan Asynchronous Successive Halving Algorithm

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Calculating the best shapes for things to come

Maximizing the performance and efficiency of structures—everything from bridges to computer components—can be achieved by design with a new algorithm developed by researchers at the University of Michigan and Northeastern University. It's an advancement likely to benefit a host of industries wher
United States Wei Lu Changyu Deng Nature Communications Northeastern University Wei Lu Research Group
Source: umich.edu

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