SPICE Model of a Passive Battery Management System

The migration towards green energy has seen a big increase in the number of electric vehicles and energy storage systems existing on the market, where the battery is a fundamental part. In order to provide the necessary voltage and current for the power supply of the system, the battery cells are co...

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Main Authors: Ionut-Constantin Guran, Adriana Florescu, Lucian Andrei Perisoara
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10379595/
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author Ionut-Constantin Guran
Adriana Florescu
Lucian Andrei Perisoara
author_facet Ionut-Constantin Guran
Adriana Florescu
Lucian Andrei Perisoara
author_sort Ionut-Constantin Guran
collection DOAJ
description The migration towards green energy has seen a big increase in the number of electric vehicles and energy storage systems existing on the market, where the battery is a fundamental part. In order to provide the necessary voltage and current for the power supply of the system, the battery cells are connected in series and/or in parallel. These types of connections lead to an imbalance in the cells’ state-of-charge over time and drastically decrease the battery life. In order to prevent this imbalance, a battery management system must be used. At the moment, the simulation is used before the physical implementation in order to verify the system design, with SPICE being the preferred mixed-signal simulator. However, the literature focuses on the physical design and implementation of BMS without treating the SPICE simulation. For this reason, this article proposes for the first time the implementation and verification of a passive battery management system simulation model in the most used SPICE-based environment, OrCAD Capture. The BMS model consists of a modular approach, with the following blocks used in the implementation: cell voltage sensing, battery pack current sensing, cell balancing, power supply, microcontroller. Each block is simulated and verified separately and then integrated into the final BMS model. The simulation results of the final BMS model show that the system performs the balancing of the cells correctly according to the balancing algorithm, while the maximum error in the measurement of the cell voltages and battery pack current is 1.5%. Based on these results, the proposed methodology can be used in the design of real-world battery management systems to reach the best possible architecture before the physical implementation, leading to cost and time optimization.
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spelling doaj.art-8520c04d80174df9ae24db8251a3adae2024-01-10T00:06:09ZengIEEEIEEE Access2169-35362024-01-01124000401410.1109/ACCESS.2023.334918610379595SPICE Model of a Passive Battery Management SystemIonut-Constantin Guran0https://orcid.org/0000-0002-4751-5074Adriana Florescu1Lucian Andrei Perisoara2Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, RomaniaDepartment of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, RomaniaDepartment of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, RomaniaThe migration towards green energy has seen a big increase in the number of electric vehicles and energy storage systems existing on the market, where the battery is a fundamental part. In order to provide the necessary voltage and current for the power supply of the system, the battery cells are connected in series and/or in parallel. These types of connections lead to an imbalance in the cells’ state-of-charge over time and drastically decrease the battery life. In order to prevent this imbalance, a battery management system must be used. At the moment, the simulation is used before the physical implementation in order to verify the system design, with SPICE being the preferred mixed-signal simulator. However, the literature focuses on the physical design and implementation of BMS without treating the SPICE simulation. For this reason, this article proposes for the first time the implementation and verification of a passive battery management system simulation model in the most used SPICE-based environment, OrCAD Capture. The BMS model consists of a modular approach, with the following blocks used in the implementation: cell voltage sensing, battery pack current sensing, cell balancing, power supply, microcontroller. Each block is simulated and verified separately and then integrated into the final BMS model. The simulation results of the final BMS model show that the system performs the balancing of the cells correctly according to the balancing algorithm, while the maximum error in the measurement of the cell voltages and battery pack current is 1.5%. Based on these results, the proposed methodology can be used in the design of real-world battery management systems to reach the best possible architecture before the physical implementation, leading to cost and time optimization.https://ieeexplore.ieee.org/document/10379595/Batterybattery management systemstate-of-chargeSPICE simulation modelcost optimizationtime optimization
spellingShingle Ionut-Constantin Guran
Adriana Florescu
Lucian Andrei Perisoara
SPICE Model of a Passive Battery Management System
IEEE Access
Battery
battery management system
state-of-charge
SPICE simulation model
cost optimization
time optimization
title SPICE Model of a Passive Battery Management System
title_full SPICE Model of a Passive Battery Management System
title_fullStr SPICE Model of a Passive Battery Management System
title_full_unstemmed SPICE Model of a Passive Battery Management System
title_short SPICE Model of a Passive Battery Management System
title_sort spice model of a passive battery management system
topic Battery
battery management system
state-of-charge
SPICE simulation model
cost optimization
time optimization
url https://ieeexplore.ieee.org/document/10379595/
work_keys_str_mv AT ionutconstantinguran spicemodelofapassivebatterymanagementsystem
AT adrianaflorescu spicemodelofapassivebatterymanagementsystem
AT lucianandreiperisoara spicemodelofapassivebatterymanagementsystem