A Field-Validated Framework That Exposes the Limits of SoH

Yanti repair fieldwork

Yanti Innovative Electromotive Solutions Pvt Ltd Abstract A module at 78% state-of-health (SoH) is scrapped as end-of-life; after reconditioning, it powers a stationary storage for three more years. Another at 82% SoH fails weeks into revival. Conventional metrics cannot explain the difference. Field analysis of >1,000 EV modules across platforms reveals that recoverability the probability … Read more

The Truth Behind Second-Life Batteries

elephant and battery in the room

Why Reuse Is Lagging Behind Author: Bluewater Battery Logistics The global push for renewable energy and electrification is driving an unprecedented production of lithium-ion batteries. Approximately ten to fifteen percent of new batteries remain unused in their intended first-life applications due to various factors – including overproduction and cancelled projects. While recycling is critical for end-of-life batteries, the concept of second-life reuse, where unused and … Read more

Remaining Useful Life

remaining useful life

What is Remaining Useful Life (RUL)? Remaining Useful Life (RUL) is a key function declared by the battery management system. As per the title it gives you the remaining predicted lifetime of the battery based on its usage and degradation to the failure threshold [1]. It represents the period from the observation to the end of life … Read more

Empirical Wavelet Transform and Deep-Learning Neural Network

Research poster on Empirical Wavelet Transform and Deep learning

Empirical Wavelet Transform and Deep-Learning Neural Network for State of Health Estimation of Lithium-ion Batteries Authors: Ma’d El-Dalahmeh, Maher Al-Greer, School of Computing Engineering and Digital Technologies, Teesside University, Middlesbrough, UKCentre of Smart Energy and Smart Grid Abstract This work presents a state of health (SOH) estimation of lithium-ion batteries based on advanced signal processing … Read more

Physics-Based Model-Informed Smooth Particle Filter

Process flow - RUL prediction - Research poster on Physics Based Models

Physics-Based Model-informed Smooth Particle Filter based likelihood approximations for remaining useful life prediction of lithium-ion batteries Authors: Mo’ath El-Dalahmeh, Maher Al-Greer, Ma’d El-Dalahmeh, and Imran BashirSchool of Computing Engineering and Digital Technologies, Teesside University, Middlesbrough, UKCentre of Smart Energy and Smart Grid What Is The Research? Methodology Smooth Particle Filter Algorithm The proposed SPF algorithm … Read more