Applications of artificial neural network based battery management systems: A literature review

M Kurucan, M Özbaltan, Z Yetgin, A Alkaya - Renewable and Sustainable …, 2024 - Elsevier
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …

Fractional order nonsingular terminal sliding mode cooperative fault-tolerant control for high-speed trains with actuator faults based on grey wolf optimization

B Liang, T Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
This paper mainly studies the cooperative precise control of multiple high-speed trains
under external random interference. The safety distance potential energy function is …

Optimization-based Energy Strategy for Autonomous Electric Race Cars

T Herrmann - 2022 - mediatum.ub.tum.de
This thesis aims to develop an online-capable Energy Strategy, which operates a race
vehicle at the performance limit to achieve a minimum race time, leveraging the available …

Model-Based Fast Charging Control of Lithium-Ion Batteries in Electric Vehicles

N Wassiliadis - 2024 - mediatum.ub.tum.de
This thesis examines the challenges of current control in lithium-ion battery packs to enable
fast charging of electric vehicles. It proposes an electrochemical model-based, health-aware …

[PDF][PDF] 深層学習を活用したリチウムイオン蓄電池の状態推定技術に関する研究

塩原孝弘 - (No Title), 2022 - ritsumei.repo.nii.ac.jp
**年, 温暖化対策において再生可能エネルギーの利用などによる電力変動の調整機能として
蓄電池が期待される. 蓄電池をより普及させるためには安全性の向上や小型化・軽量化などの技術 …