Balancing and SOC Estimation in a Battery Management System for Electric Vehicle

Petri, Ana-Maria; Petreuş, Dorin

doi:10.1109/isse51996.2021.9467557

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…The cellbalancing circuit equalizes the state of charge of the cells applied to the battery pack by consuming the energy of a cell with a high state of charge or transferring it to another cell. At this time, voltage or SOC can be used as a criterion for determining whether the state of charge is high or low; A. Petri [4] mentioned that balancing operations using SOC require high estimation accuracy. Therefore, in this paper, the switch of the balancing circuit is controlled by the voltage difference between cells.…”

Section: Introductionmentioning

confidence: 99%

Study on the Systematic Design of a Passive Balancing Algorithm Applying Variable Voltage Deviation

Song

Lee

2023

Electronics

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A balancing circuit in a multi-series battery pack prevents a specific cell from being overcharged by reducing the voltage difference between the cells. Passive cell balancing is widely used for easy implementation and volume and size reduction. For optimal passive cell balancing, the charging/discharging current conditions and the state of charge (voltage condition) of the battery must be determined. In addition, the balancing algorithm must determine an allowable voltage deviation threshold between the cells connected in series to determine whether a specific cell performs a balancing operation. However, previous studies have not dealt with the design of balancing operating conditions in detail. In addition, the balancing time and efficiency improvement effect under specific conditions for arbitrary battery cells used in each previous study were mainly presented. Therefore, this study proposes a variable voltage deviation method in which the threshold for determining the voltage to be balanced is changed by reflecting the battery capacity, rated current specification, open-circuit voltage, and resistance of the balancing circuit. In addition, the voltage management performance and efficiency analysis results of the existing balancing algorithm and the proposed balancing method for the case where there is parameter deviation in the cells of the battery pack are also presented. The proposed method was verified through the simulation and experimental results of a reduced battery module in which three types of battery cells, INR 18650-30Q, INR 18650-29E, and INR 21700-50E, were arranged in 4-series.

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Section: Introductionmentioning

confidence: 99%

Study on the Systematic Design of a Passive Balancing Algorithm Applying Variable Voltage Deviation

Song

Lee

2023

Electronics

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“…So overall how BMS balances with proper algorithm implementation are shown here. Petri and Petreuș (2021) developed Balancing and SOC estimation in BMS for EV. Besides the charge equalization, one of the important factors is balancing the State of Charge (SoC) of the batteries and its proper estimation in the BMS for EV.…”

Section: Introductionmentioning

confidence: 99%

“…This filter made available an efficient computational way for state estimation through a linearization procedure. EKF uses a dual-stage predictor-corrector algorithm Petri and Petreuș (2021). developed Balancing and SOC estimation in BMS for EV.…”

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confidence: 99%

Design of ARM Controlled Cell Balancing Network-based Battery Management System for Electrical Vehicle

Naikwade,

Rajiv

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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One of the important key factors used in Electrical vehicles is Battery management System. The main part of the Electrical Vehicle (EV) that is strongly associated with vehicle safety and its range estimation using an optimizing cell balancing unit. This research work objective is to build a BMS that can be used in EV and provide better information to a user for monitoring the data. The paper illustrates the use of the ARM Cortex -R4 processor and BQ76942 battery monitor with their high-end features providing SoC, SoH, battery current, voltage, and thermal protection with the increasing range of EV using the cell balancing technique. The passive balancing using Coulomb Counting and EKF methods to estimate SoC for a battery pack give precise results for vehicle range extension The MATLAB simulation is done and proposed the cell balancing algorithm to improve the battery management system. Lithium-ion batteries are used due to their low weight and high charge density. The cells in the battery pack are monitored individually for their efficient operation and safety concerns. Also, for monitoring charging-discharging cycles, overcurrent undercurrent protection, and under-voltage overvoltage protection. For this purpose, the main microcontroller unit which is based on Advanced RISC Machine architecture is used. To observe and sense various battery management system parameters another BMS IC a highly integrated and high-accuracy battery protector and monitor connects with the main microcontroller to observe the battery pack determines various parameters and sends them to the main microcontroller. Some key simulation results to gain well cell balancing also ensures that the battery pack is neither over-discharged nor over-charged.

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A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learning

Heydarian Ardakani,

Abdollahi

2024

Journal of Energy Storage

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Balancing and SOC Estimation in a Battery Management System for Electric Vehicle

Cited by 7 publications

References 8 publications

Study on the Systematic Design of a Passive Balancing Algorithm Applying Variable Voltage Deviation

Study on the Systematic Design of a Passive Balancing Algorithm Applying Variable Voltage Deviation

Design of ARM Controlled Cell Balancing Network-based Battery Management System for Electrical Vehicle

A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learning

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