Modular Active Charge Balancing for Scalable Battery Packs

Narayanaswamy, Swaminathan; Kauer, Matthias; Steinhorst, Sebastian; Lukasiewycz, Martin; Chakraborty, Samarjit

doi:10.1109/tvlsi.2016.2611526

Cited by 47 publications

(25 citation statements)

References 30 publications

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“…Section 6 reports the results of battery pack simulations considering the mismatch among the cells. The statistical variations of the parameters of the cell have been modeled after the measurements of the single cell reported in References [11,18,40,41]: Figure 12a shows the SoC of the 48 cells. Figure 12b shows the current driven from each cell.…”

Section: Results: Battery Pack Simulationsmentioning

confidence: 99%

Lithium-ion Battery Electrothermal Model, Parameter Estimation, and Simulation Environment

et al. 2017

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Abstract:The market for lithium-ion batteries is growing exponentially. The performance of battery cells is growing due to improving production technology, but market request is growing even more rapidly. Modeling and characterization of single cells and an efficient simulation environment is fundamental for the development of an efficient battery management system. The present work is devoted to defining a novel lumped electrothermal circuit of a single battery cell, the extraction procedure of the parameters of the single cell from experiments, and a simulation environment in SystemC-WMS for the simulation of a battery pack. The electrothermal model of the cell was validated against experimental measurements obtained in a climatic chamber. The model is then used to simulate a 48-cell battery, allowing statistical variations among parameters. The different behaviors of the cells in terms of state of charge, current, voltage, or heat flow rate can be observed in the results of the simulation environment.

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Section: Results: Battery Pack Simulationsmentioning

confidence: 99%

Lithium-ion Battery Electrothermal Model, Parameter Estimation, and Simulation Environment

et al. 2017

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“…After the battery balancing process ends, V in will approach to the charging voltage of the battery and also to be identical to V o In the steady state, V in = V o . Thus, the equation (1) can be rewritten which is shown in (2).…”

Section: Fast Battery Balancing Control Strategy and The Algorithmmentioning

confidence: 99%

“…Battery packs and modules are composed of several battery cells for high power energy storing applications. However, there is a critical issue about imbalance of electric charge [1][2][3][4][5] within high power battery strings. The issue is caused by the characteristic [6], depth of discharge [7], and aging problem of each cell [8,9].…”

Section: Introductionmentioning

confidence: 99%

A Fast Charging Balancing Circuit for LiFePO4 Battery

Chang

et al. 2019

Electronics

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In this paper, a fast charging balancing circuit for LiFePO4 battery is proposed to address the voltage imbalanced problem of a lithium battery string. During the lithium battery string charging process, the occurrence of voltage imbalance will activate the fast balancing mechanism. The proposed balancing circuit is composed of a bi-directional converter and the switch network. The purpose of bi-directional is that the energy can be delivered to the lowest voltage cell for charging mode. On the other hand, the energy stored in the magnetizing inductors of the transformer can be charged back to the higher voltage cell in recycling mode. This novel scheme includes the following features: (1) The odd-numbered and even-numbered cells in the string with the maximum differential voltage will be chosen for balancing process directly. In this topology, there is no need to store and deliver the energy through any intermediate or the extra storing components. That is, the energy loss can be saved to improve the efficiency, and the fast balancing technique can be achieved. (2) There is only one converter to complete the energy transfer for voltage balancing process. The concept makes the circuit structure much simpler. (3) The structure has bi-directional power flow and good electrical isolation features. (4) A single chip controller is applied to measure the voltage of each cell to achieve the fast balancing process effectively. At the end of the paper, the practical test of the proposed balancing method on LiFePO4 battery pack (28.8 V/2.5 Ah) is verified and implemented by the experimental results.

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“…Thus, to compute the battery used capacity, it is possible to simply compute the amount of current flown outside the battery according to the well-known Coulomb Counting technique, considering the uncertainties connected to the current measurements. A first difficulty grows when considering multiple cells that, because of the manufacturing process, do not have the same behaviour [36][37][38]. The residual capacity they store and the amount of current they deliver is not the same, and the battery capacity stored level is defined by the weakest cell.…”

Section: Battery Modellingmentioning

confidence: 99%

Battery Modelling and Simulation Using a Programmable Testing Equipment

2018

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Abstract:In this paper, the study and modelling of a lithium-ion battery cell is presented. To test the considered cell, a battery testing system was built using two programmable power units: an electronic load and a power supply. To communicate with them, a software/hardware interface was implemented within the National Instruments (NI) LabVIEW environment. This dedicated laboratory equipment can be used to apply charging/discharging cycles according to user defined load profiles. The battery modelling and the parameters identification procedure are described. The model was used to estimate the State Of Charge (SOC) under dynamic loading conditions. The most spread techniques used in the field of battery modelling and SOC estimation are implemented and compared.

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Modular Active Charge Balancing for Scalable Battery Packs

Cited by 47 publications

References 30 publications

Lithium-ion Battery Electrothermal Model, Parameter Estimation, and Simulation Environment

Lithium-ion Battery Electrothermal Model, Parameter Estimation, and Simulation Environment

A Fast Charging Balancing Circuit for LiFePO4 Battery

Battery Modelling and Simulation Using a Programmable Testing Equipment

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