Evaluating feasibility of batteries for second-life applications using machine learning

8 March 2022

Papers citing "Evaluating feasibility of batteries for second-life applications using machine learning"

3 / 3 papers shown

Title
PulseBat: A field-accessible dataset for second-life battery diagnostics from realistic histories using multidimensional rapid pulse test Shengyu Tao Guangyuan Ma Huixiong Yang Minyan Lu Guodan Wei Guangmin Zhou Xuan Zhang 48 6 0 24 Feb 2025
Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimation Xiaofan Cui Muhammad Aadil Khan Gabriele Pozzato Surinder Singh Ratnesh Sharma Simona Onori 15 8 0 29 Feb 2024
Machine learning pipeline for battery state of health estimation D. Roman Saurabh Saxena Valentin Robu Michael G. Pecht David Flynn 31 374 0 01 Feb 2021