Abstract Electric and Plug-in Hybrid Electric Vehicles are a promising sustainable mobility
alternative due to their low emissions impact and the rapidly falling production costs of Li-ion …

Understanding the aging mechanism for lithium-ion batteries (LiBs) is crucial for optimizing
the battery operation in real-life applications. This article gives a systematic description of …

In our increasingly electrified society, lithium–ion batteries are a key element. To design,
monitor or optimise these systems, data play a central role and are gaining increasing …

A prognosis model named “Dual-tank ageing model”, combining empirical ageing laws for
electrode capacity fading and a physics-based model for the Solid Electrolyte Interphase …

This paper exploits an optimal design of experiments to calibrate an ageing model for a
graphite/LMO-NMC battery. The study is based on experimental data from the MOBICUS …

This paper describes a blockchain-based approach for sharing data among all the actors
involved in Vehicle-to-Grid programs. The shared information is used both for monitoring the …

Battery degradation is critical to the cost-effectiveness and usability of battery-powered
products. Aging studies help to better understand and model degradation and to optimize …

The process of determination of batteries lifespan for a specific application generally
contains some aging tests. Most of the time, these tests used simplified power or current …

The demand for local power resilience is promoting the installation of renewable-based
microgrids. Plug-in electric vehicles (PEVs) are rapidly increasing and can play a critical role …

An empirical generic Li-ion aging model, compatible with a large number of aging
mechanisms without their a priori knowledge has been developed as well as a calibration …