A unitized charging and discharging smart battery management system

Wey, Chin‐Long; Jui, Ping-Chang

doi:10.1109/iccve.2013.6799924

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…These tests take into account the battery's ability to deliver a certain voltage, current and capacity. Such testing takes place by repeatedly charging and discharging battery cells [33,34].…”

Section: Testing Methods Of Li-ion Batteriesmentioning

confidence: 99%

Improved Digital Twin of Li-Ion Battery Based on Generic MATLAB Model

et al. 2023

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The paper describes the digital twin of a Li-ion battery cell based on the MATLAB/Simulink generic model. The digital twin is based on measured data for constant current/constant voltage charging and discharging cycles with State of Health (SoH) up to 79%, also including fast charging. Mathematical equations used for the digital twin are obtained by 3D data fitting of measured SoH, battery capacity, and battery cell current. The input to the proposed digital twin is only the measured battery cell current, and its output includes State of Charge (SoC), SoH, and battery cell voltage. The designed digital twin is tested and compared with MATLAB/Simulink generic model and battery cell measurements for constant discharging current and dynamically generated discharging current profile. The results show significant improvement in the generic MATLAB/Simulink model.

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Section: Testing Methods Of Li-ion Batteriesmentioning

confidence: 99%

Improved Digital Twin of Li-Ion Battery Based on Generic MATLAB Model

et al. 2023

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“…Of course, it can be discharged with a current higher than 1 C, but the result will be a higher battery temperature at large discharge currents; the temperature may extend up to 100°C. A higher discharge current also affects the battery capacitance after a few tens of cycles (Wey and Jui, 2013).…”

Section: Dischargingmentioning

confidence: 99%

Design and Simulation of Cyclic Battery Tester

Bilansky

Lacko

2020

Power Electronics and Drives

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The paper presents an approach to the modelling of a cyclic battery tester and contains observations about lithium-ion (Li-ion) batteries, charging/discharging procedures, conditions and protections which must be observed during the testing process. The main goal was to create and simulate a schematic which will be capable of cyclically testing Li-ion battery cells. Regulation of the final schematic is based on cascade connections of operation amplifiers, which work as a voltage source with current-limiting functions. The power part is created by two MOSFETs connected as a half-bridge. This topology allows current to flow in both directions (from and to the battery). Final simulation is supplemented by protections such as reverse polarity protection, short circuit protection and overvoltage protection during charging. Proper operation of the whole connection is demonstrated by the simulation outputs in the final section.

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“…The BATTMAN system designed by Hauck in Germany can be compatible with various battery packs. The management of different battery packs is realized through the combination of software and hardware, dramatically improving BMS’s universality ( Wey & Jui, 2013 ). The BMS produced by Preh has an independent protection chip, which can ensure the safety of the battery pack even if the battery system operates under the limit state ( Garcia et al, 2009 ).…”

Section: Introductionmentioning

confidence: 99%

Design of wireless battery management system monitoring and automated alarm system based on improved long short-term memory neural network

Zhang

2023

PeerJ Computer Science

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The battery management system (BMS) can intelligently manage and maintain each battery unit while monitoring its status, thereby preventing any possible overcharge or over-discharge of the battery. In BMS research, battery state parameter collection and analysis are essential. However, traditional data collection methods require personnel to be present at the scene, leading to offline data acquisition. Therefore, this study aimed to develop a wireless BMS monitoring and alarm system based on socket connection that would enable researchers to observe the operating parameters and problem details of the battery pack from a distance. A device like this effectively raises the battery’s level of cognitive control. In the study, the researchers first designed the overall scheme of the BMS remote monitoring system, followed by building a wireless BMS monitoring and alarm system. Performance evaluations of the system were then conducted to confirm its effectiveness. A Long Short-Term Memory (LSTM) network enhanced by the Batch Normalization (BN) technique was applied to the time series data of battery parameters to solve the large accuracy inaccuracy in battery state of charge estimate. Furthermore, the Denoise Auto Encoder (DAE) algorithm was utilized to denoise the data and reduce the model’s parameter dependence. The accuracy and robustness of the estimation are improved, and the model error is gradually stabilized within 5%.

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A unitized charging and discharging smart battery management system

Cited by 9 publications

References 5 publications

Improved Digital Twin of Li-Ion Battery Based on Generic MATLAB Model

Improved Digital Twin of Li-Ion Battery Based on Generic MATLAB Model

Design and Simulation of Cyclic Battery Tester

Design of wireless battery management system monitoring and automated alarm system based on improved long short-term memory neural network

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