Open, flexible and extensible battery management system for lithium-ion batteries in mobile and stationary applications

Giegerich, M.; Akdere, M.; Freund, C.; Fühner, Tim; Grosch, J.; Koffel, S.; Schwarz, R.; Waldhör, Stefan; Wenger, M.; Lorentz, V.R.H.; März, Martin

doi:10.1109/isie.2016.7745026

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…These applications include applications for monitoring of battery tests, evaluation of various state diagnosis and state predictions, rapid assembly of battery system demonstrators, tests for new sensor technologies, like sensor-less temperature measurement, etc. [60]. This variant in battery management applications calls for the development of a modular and flexible BMS.…”

Section: Diversity Of Battery Management Applicationsmentioning

confidence: 99%

“…This inconsistency leads to unreliability and unstable efficiency of the cells, and this poses a serious problem. To solve this problem cell balancing can be used to achieve long battery life and to ensure reliability and safety [60,64,65]. Two types of algorithms are used in cell balancing: voltage-based algorithm and state of charge-based balancing algorithms [66].…”

Section: Lack Of Safe Operating Areas For Specific Battery Cellsmentioning

confidence: 99%

“…Since the meaningful hardware and electrochemical properties of the battery cells are impacted by many diverse factors, it is difficult to ensure an efficient operational state of the peripheral control units [60,68]. This will, consequently, impact the design and development of the BMS for EVs.…”

Section: Ensuring An Efficient Operational State Of the Peripheral Comentioning

confidence: 99%

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Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

2018

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The battery is the most ideal power source of the twenty-first century, and has a bright future in many applications, such as portable consumer electronics, electric vehicles (EVs), military and aerospace systems, and power storage for renewable energy sources, because of its many advantages that make it the most promising technology. EVs are viewed as one of the novel solutions to land transport systems, as they reduce overdependence on fossil energy. With the current growth of EVs, it calls for innovative ways of supplementing EVs power, as overdependence on electric power may add to expensive loads on the power grid. However lithium-ion batteries (LIBs) for EVs have high capacity, and large serial/parallel numbers, when coupled with problems like safety, durability, uniformity, and cost imposes limitations on the wide application of lithium-ion batteries in EVs. These LIBs face a major challenge of battery life, which research has shown can be extended by cell balancing. The common areas under which these batteries operate with safety and reliability require the effective control and management of battery health systems. A great deal of research is being carried out to see that this technology does not lead to failure in the applications, as its failure may lead to catastrophes or lessen performance. This paper, through an analytical review of the literature, gives a brief introduction to battery management system (BMS), opportunities, and challenges, and provides a future research agenda on battery health management. With issues raised in this review paper, further exploration is essential.

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Section: Diversity Of Battery Management Applicationsmentioning

confidence: 99%

Section: Lack Of Safe Operating Areas For Specific Battery Cellsmentioning

confidence: 99%

Section: Ensuring An Efficient Operational State Of the Peripheral Comentioning

confidence: 99%

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Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

2018

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“…The modular structure employs a master module, to which each battery module is connected. In the central structure, the batteries are connected to a single module where the number of batteries that can be connected is fixed [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Low Voltage Battery Management System with Internal Adaptive Charger and Fuzzy Logic Controller

2020

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Lithium ion (Li-Ion) and lithium polymer (Li-Po) batteries need to be used within certain voltage/current limits. Failure to observe these limits may result in damage to the battery. In this work, we propose a low voltage battery management system (LV-BMS) that balances the processes of the battery cells in the battery pack and the activating-deactivating of cells by guaranteeing that the operation is within these limits. The system operates autonomously and provides energy from the internal battery. It has a modular structure and the software is designed to control the charging and discharging of eight battery cells at most. A STM32F103 microcontroller is used for system control. The fuzzy logic controller (FLC) is used to set the discharge voltage limit to prevent damage to the battery cells, shorten the settlement time and create a specialized design for charge control. The proposed structure enables solar panel or power supplies with different voltage values between 5 V and 8 V to be used for charging. The experimental results show there was a 42% increase in usage time and the voltage difference between the batteries was limited to a maximum of 65 mV. Moreover, the charge current settles at about 20 ms, which is a much faster response when compared to a PID controller.

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“…The Fraunhofer IISB has developed a free, open and flexible research and development platform, foxBMS, for battery management systems. The general features of foxBMS are introduced in [2]. It includes all hardware and software components that are required for mobile and stationary applications using modern rechargeable electrochemical energy storage systems (e.g., lithium-ion batteries, redox-flow batteries, super capacitors).…”

Section: Introductionmentioning

confidence: 99%

Hardware and software framework for an open battery management system in safety-critical applications

Akdere

Giegerich

Wenger

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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Lithium ion batteries are a common choice for many use cases, ranging from medical devices to automotive and airborne applications. Despite their widespread application, lithium ion batteries still remain an expensive, yet sensitive component within these systems. In order to maintain the operability of the battery system over its designated service life an appropriate battery management system (BMS) is required. The development of such a BMS is a challenging task, as various technological, environmental and application-specific aspects have to be considered. Especially safe and reliable operation of the battery system is an important and critical issue in this context. Besides these safety critical aspects, the BMS also includes extensive non safety related components and functions. Therefore, in order to fulfill safety-critical requirements, it is mandatory to keep the respective hardware and software components isolated. Redundancy, partitioning and the implementation of diagnostic functions at several software layers and different hardware partitions are the mechanisms for ensuring the integrity of the system. For performance and economical reasons, these techniques have to be tailored to the application. Based on a real-time operation system, a flexible and extensible strategy for a software framework with minimal code size, lean interfaces and few dependencies is introduced. The use of a dedicated BMS-Engine with a partitioned database enables the implementation of a stringent safety concept, which is discussed and demonstrated to be feasible

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Open, flexible and extensible battery management system for lithium-ion batteries in mobile and stationary applications

Cited by 10 publications

References 13 publications

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

Low Voltage Battery Management System with Internal Adaptive Charger and Fuzzy Logic Controller

Hardware and software framework for an open battery management system in safety-critical applications

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