Jan 1, 2021 · To improve the accuracy of the cloud-based battery data mining model and mitigate the under-fitting problem, a deep learning algorithm-based battery feature extraction method, …

Apr 25, 2023 · This study developed a battery big data platform to realize vehicle operation, energy interaction and data management. First, we developed an electric vehicle with vehicle …

Dec 18, 2024 · Effectively diagnosing power battery faults plays a crucial role in the safe and stable operation of NEVs. A fast diagnosis method for power battery faults in NEVs is …

The development of a battery management algorithm is highly dependent on high-quality battery operation data, especially the data in extreme conditions such as low temperatures. The data …

Next, to improve real-time performance of Battery Management System (BMS), a conjunction working mode between the Cloud-based BMS (C-BMS) and BMS in vehicles (V-BMS) is …

Jun 11, 2024 · The integration of Artificial Intelligence (AI) and Big Data in Battery Electric Vehicles (BEVs) is revolutionizing the automotive industry, enhancing vehicle performance, …

May 2, 2023 · This paper proposes an online big data analytics pipeline for machine learning (ML)-based battery health monitoring in electric vehicles (EVs).

Apr 15, 2015 · In this work, we demonstrate the process of pattern extraction of EV related data based on a battery model and characteristics of EV systems. Furthermore, the proposed …

Oct 30, 2019 · TL;DR: A big data-driven battery management method utilizing the Support Vector Regression algorithm, with the ability to work stably under dynamic conditions and whole …

May 15, 2019 · Collecting and mining big data for electric vehicle systems using battery modeling data