Scalable, Decentralized Battery Management System Based on Self-organizing Nodes

Reindl, Andrea; Meier, Hans; Niemetz, Michael

doi:10.1007/978-3-030-52794-5_13

Cited by 19 publications

(17 citation statements)

References 34 publications

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“…The architecture of BMSs can be divided generally into centralized and decentralized systems [553]. Additionally, there exist mixture approaches which will be discussed in more detail here.…”

Section: Control Rbs Switchesmentioning

confidence: 99%

“…(b) modularized [554,557,562]; (c) distributed [9,401,461,527,555,[563][564][565][566][567]; (d) decentralized [553,554,557,560,562,[568][569][570].…”

Section: Central Master Controllermentioning

confidence: 99%

“…This is a rather common approach in conventional BMSs. Consequently, temperature and voltage sensors of each cell have to be connected to the central control unit, which causes high wiring effort [553]. The reason for this approach is its low complexity.…”

Section: Central Master Controllermentioning

confidence: 99%

“…This modularized approach brings the data acquisition closer to the sensors resulting in more reliable sensing capabilities. Furthermore, the architecture is scalable as more battery modules can be added to the system [553]. However, synchronic switching of reconfigurable battery cells over multiple modules is a challenging task.…”

Section: Central Master Controllermentioning

confidence: 99%

“…Distributed BMSs feature a fast response time for cell functionality, which is advantageous for switching operation of RBS, while the data rate of the communication to the master controller is kept low. Furthermore, the measurement accuracy is improved by shorter connection wires and increased interference immunity [553]. Algorithms that are focusing on the individual cell (e.g., SOC and SOH estimation, safety monitoring, etc.)…”

Section: Central Master Controllermentioning

confidence: 99%

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Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

et al. 2021

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This review provides an overview of new strategies to address the current challenges of automotive battery systems: Intelligent Battery Systems. They have the potential to make battery systems more performant and future-proof for coming generations of electric vehicles. The essential features of Intelligent Battery Systems are the accurate and robust determination of cell individual states and the ability to control the current of each cell by reconfiguration. They enable high-level functions like fault diagnostics, multi-objective balancing strategies, multilevel inverters, and hybrid energy storage systems. State of the art and recent advances in these topics are compiled and critically discussed in this article. A comprising, critical discussion of the implementation aspects of Intelligent Battery Systems complements the review. We touch on sensing, battery topologies and management, switching elements, communication architecture, and impact on the single-cell. This review contributes to transferring the best technologies from research to product development.

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Section: Control Rbs Switchesmentioning

confidence: 99%

“…(b) modularized [554,557,562]; (c) distributed [9,401,461,527,555,[563][564][565][566][567]; (d) decentralized [553,554,557,560,562,[568][569][570].…”

Section: Central Master Controllermentioning

confidence: 99%

Section: Central Master Controllermentioning

confidence: 99%

Section: Central Master Controllermentioning

confidence: 99%

Section: Central Master Controllermentioning

confidence: 99%

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Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

et al. 2021

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Renewable energy hybridization: a comprehensive review of integration strategies for efficient and sustainable power generation

Pawar,

Dalsania,

Sircar

et al. 2024

Clean Techn Environ Policy

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Critical review and functional safety of a battery management system for large-scale lithium-ion battery pack technologies

See

Wang

Zhang³

et al. 2022

Int J Coal Sci Technol

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The battery management system (BMS) is the main safeguard of a battery system for electric propulsion and machine electrification. It is tasked to ensure reliable and safe operation of battery cells connected to provide high currents at high voltage levels. In addition to effectively monitoring all the electrical parameters of a battery pack system, such as the voltage, current, and temperature, the BMS is also used to improve the battery performance with proper safety measures within the system. With growing acceptance of lithium-ion batteries, major industry sectors such as the automotive, renewable energy, manufacturing, construction, and even some in the mining industry have brought forward the mass transition from fossil fuel dependency to electric powered machinery and redefined the world of energy storage. Hence, the functional safety considerations, which are those relating to automatic protection, in battery management for battery pack technologies are particularly important to ensure that the overall electrical system, regardless of whether it is for electric transportation or stationary energy storage, is in accordance with high standards of safety, reliability, and quality. If the system or product fails to meet functional and other safety requirements on account of faulty design or a sequence of failure events, then the environment, people, and property could be endangered. This paper analyzed the details of BMS for electric transportation and large-scale energy storage systems, particularly in areas concerned with hazardous environment. The analysis covers the aspect of functional safety that applies to BMS and is in accordance with the relevant industrial standards. A comprehensive evaluation of the components, architecture, risk reduction techniques, and failure mode analysis applicable to BMS operation was also presented. The article further provided recommendations on safety design and performance optimization in relation to the overall BMS integration.

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Scalable, Decentralized Battery Management System Based on Self-organizing Nodes

Cited by 19 publications

References 34 publications

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

Renewable energy hybridization: a comprehensive review of integration strategies for efficient and sustainable power generation

Critical review and functional safety of a battery management system for large-scale lithium-ion battery pack technologies

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