Machine learning-based optimal cell balancing mechanism for electric vehicle battery management system

T Duraisamy, D Kaliyaperumal - IEEE Access, 2021 - ieeexplore.ieee.org
Cell balancing is a vital function of battery management system (BMS), which is
implemented to extend the battery run time and service life. Various cell balancing …

Strategies for improving rechargeable lithium-ion batteries: From active materials to CO2 emissions

S Chiluwal, AM Rao, R Podila - Nanotechnology Reviews, 2021 - degruyter.com
The recent past witnessed rapid strides in the development of lithium-based rechargeable
batteries. Here, some key technological developments in intercalation, conversion, and alloy …

Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries

SS Madani, C Ziebert, P Vahdatkhah, SK Sadrnezhaad - Batteries, 2024 - mdpi.com
In recent years, the rapid evolution of transportation electrification has been propelled by the
widespread adoption of lithium-ion batteries (LIBs) as the primary energy storage solution …

[PDF][PDF] 考虑温度的电池荷电状态估算和主被动均衡

孙正, 李军, 李虎林 - 科学技术与工程, 2022 - stae.com.cn
摘要电池的荷电状态(state-of-charge, SOC) 估算和电池均衡作为电池管理系统(battery
management system, BMS) 的核心功能, 对电池的一致性和使用寿命, 安全等至关重要 …

Snapshot SoC Identification with Pulse Injection Aided Machine Learning

YA Fahmy, W Wang, AC West, M Preindl - Journal of Energy Storage, 2021 - Elsevier
Abstract Machine learning, in the form of a fully connected feedforward network, is applied to
predict the state of charge (SoC) of lithium ion batteries injected with a series of pulses …

[PDF][PDF] Analysis of open circuit voltage and state of charge of high power lithium ion battery

JCD Mushini, K Rana, MS Aspalli - International Journal of Power …, 2022 - academia.edu
Electric vehicles (EVs) are the emerging technologies in the transport sector around the
world. EV runs using an electric motor with electricity which is stored in Li-ion batteries …

ANN based battery health monitoring-a comprehensive review

SV Bhagavatula, VRB Yellamraju… - E3S Web of …, 2020 - e3s-conferences.org
The development of electric vehicles has bought a great revolution in the field of battery
management as it deals with the health of the battery and also the protection of the battery …

Battery state of health and state of charge estimation: comparison between classical and machine learning techniques

D Carlucci - 2021 - webthesis.biblio.polito.it
The topics covered in this thesis work are related to the field of electric vehicles (EVs)
optimization. Thanks to their attractive properties, the majority of EVs adopt lithium-ion …

[PDF][PDF] State of Charge Estimation of Lithium-Ion Batteries Using Deep Learning

S Forouhan - 2022 - odr.chalmers.se
Abstract State of Charge (SoC) estimation of lithium-ion (Li-ion) batteries is an essential
component for electric vehicles where SoC ensures that the batteries enjoy safe operations …

Machine Learning to optimize Permanent Magnet Synchronous Machines

Z Ma, R Arteaga, M Wang… - 2020 IEEE 2nd …, 2020 - ieeexplore.ieee.org
In this paper, we offer a possible approach to estimating motor parameters: Machine
Learning. We begin with a simulation of a Permanent Magnet Synchronous Motor (PMSM) …