Lithium-ion battery data and where to find it

By Gonçalo dos Reis, Calum Strange, Mohit Yadav, Shawn Li. 2021

318 citations recorded by the source corpus.

Abstract Lithium-ion batteries are fuelling the advancing renewable-energy based world. At the core of transformational developments in battery design, modelling and management is data. In this work, the datasets associated with lithium batteries in the public domain are summarised. We review the data by mode of experimental testing, giving particular attention to test variables and data provided. Alongside highlighted tools and platforms, over 30 datasets are reviewed.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c509fb7e31caca812e87533bad6dab4f2df70b4d

Citations in the corpus

• Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications (2023, unknown): “The models that need batteries include electrochemical models [23], [24], [25], [26], [27], equivalent circuit models [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], and data-driven models [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54”