Work

Physical interpretation of early battery life prediction models

Year: 2024

Type: article

Abstract: Using Fused Lasso and PLSR machine learning methods to develop physically interpretable models for predicting battery lifetime from the first few weeks of testing. The data set can be downloaded from https://iastate.figshare.com/articles/dataset/b_ISU-ILCC_Battery_Aging_Dataset_b/22582234.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14285816

Authors: Gasper, Paul, Prakash, Nina, Joachim, Schaeffer

Institutions: National Laboratory of the Rockies, Technische Universität Darmstadt

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6911805171

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