An Adaptive Backward Control Battery Equalization System for Serially Connected Lithium-ion Battery Packs

Nguyen, Thi Tuyet Nhung; Oruganti, Sai Kiran; Na, Kyungmin; Bien, Franklin

doi:10.1109/tvt.2014.2304453

Cited by 85 publications

(39 citation statements)

References 18 publications

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“…In the analysis of [19], the equalisation scheme operates in the stage that the voltages of the cells are close to the nominal voltage UB. As a result, the duty cycle does not apply to the whole charging/discharging process.…”

Section: Cell-to-pack Equalisation Topologiesmentioning

confidence: 99%

A Unified Control Strategy for Inductor-Based Active Battery Equalisation Schemes

Liu

Wan

et al. 2018

Energies

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Series battery equalisation can improve battery charge and discharge reliability and extend battery life. Inductor-based battery equalisation schemes have the advantages of simple topologies and control strategies. According to the energy transfer pathway, inductor-based battery equalisation schemes can be divided into cell-to-cell and cell-to-pack equalisation schemes. The control strategies of the cell-to-cell schemes are simple; the inductor can only transfer energy between the neighbouring cells, so the equalisation speed is low. The cell-to-pack schemes are able to accomplish energy transfer between the cells and pack by charging and discharging the inductors. The equalisation speed is high, but the control strategies may be complex. In this paper, different equalisation topologies are reviewed, then a unified control strategy which is applicable to all of the inductor-based equalisation topologies is proposed. The equalisation speeds and efficiencies of these different schemes, including the newly-proposed unified control strategy, are analysed and compared. Based on the theoretical analysis, simulations, and experimental verifications, it is concluded that this unified control strategy can perform the battery equalisation process quickly and efficiently.

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Section: Cell-to-pack Equalisation Topologiesmentioning

confidence: 99%

A Unified Control Strategy for Inductor-Based Active Battery Equalisation Schemes

Liu

Wan

et al. 2018

Energies

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“…Based on the main balancing components, active balancing circuits can be divided into three groups: capacitor based balancing circuits [11,[29][30][31][32][33][34][35][36], inductor based balancing circuits [5,8,27,[37][38][39][40][41][42][43][44][45] and transformer based balancing circuits [6,7,25,26,[46][47][48][49][50][51]. Not every active balancing circuit can use SOC as the balancing criterion due to the nature of the balancing components and the topology of the balancing circuits.…”

Section: Current Calculation Of Each Cell For Soc Estimation With Flymentioning

confidence: 99%

A Novel Active Online State of Charge Based Balancing Approach for Lithium-Ion Battery Packs during Fast Charging Process in Electric Vehicles

et al. 2017

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Non-uniformity of Lithium-ion cells in a battery pack is inevitable and has become the bottleneck to the pack capacity, especially in the fast charging process. Therefore, a balancing approach is essentially required. This paper proposes an active online cell balancing approach in a tfast charging process using the state of charge (SOC) as balancing criterion. The goal of this approach is to complete pack balancing within the limited charging time. An adaptive extended Kalman filter (AEKF) is applied to estimate the pack cell SOC during the charging process to obtain accurate results under modeling errors and measurement noises. To implement the proposed AEKF, only one additional current sensor is required to obtain the current of each cell required for the SOC estimation. An experimental platform is established to verify the effectiveness of the proposed approach. The results show that the proposed balancing approach with the SOC as a balancing criterion can overcome the challenges of non-uniformity and flat voltage plateau and charge more capacity into a LiFePO 4 battery pack than those with the terminal voltage as a balancing criterion in the fast charging process.Keywords: lithium-ion battery pack; the active cell balancing for battery packs; fast charging with balancing; electric vehicles; adaptive extended Kalman filter; pack SOC estimation Highlights:• Adaptive extended Kalman filter (AEKF) is employed to estimate the pack cell state of charge (SOC) in real time, which is used as a balancing criterion to equalize cells in a LiFePO 4 battery pack in the fast charging process.• Only one additional current sensor in the chosen balancing circuit is required to accurately estimate pack cell SOC, leading to low cost implementation.• Balancing in the fast charging process based on online estimated SOC overcomes non-uniformity and allows more pack capacity to be charged. •Experimental platform is established to demonstrate that the performances based on the SOC criterion is better than those based on the terminal voltage criterion in terms of extra charged capacity of 2.07 Ah, equivalent to 13% of the nominal capacity of the chosen battery pack.

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“…With rapid development of EV, battery cell balancing has attracted much attention. Researches on battery balancing mainly include balancing methods [4,5,6,7,8], strategies [9,10,11,12] and control algorithms [13,14,15,16]. Related reviews can be found in [17,18,19].…”

Section: Introductionmentioning

confidence: 99%

A highly-integrated and efficient commercial distributed EV battery balancing system

Chen

Jun

Zheng

et al. 2018

IEICE Electron. Express

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This paper focuses on the imbalance problem of serial cells in lithium-ion batteries applied in electric vehicles (EVs). In order to meet more strict requirements of size, efficiency, cost, and reliability in commercial application, a highly-integrated and efficient distributed battery balancing system is developed. In the system, each balancing node (BN) and its controller, a designed specific integrated circuit (IC), are independent, distributed and integrated in an IC-packaged module. Besides, a 50% stateof-charge (SOC)-aligned balancing strategy is proposed and applied. The experiment and commercial application results show the designed balancing system performs excellently in improving battery capacity and extending cycle life.

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An Adaptive Backward Control Battery Equalization System for Serially Connected Lithium-ion Battery Packs

Cited by 85 publications

References 18 publications

A Unified Control Strategy for Inductor-Based Active Battery Equalisation Schemes

A Unified Control Strategy for Inductor-Based Active Battery Equalisation Schemes

A Novel Active Online State of Charge Based Balancing Approach for Lithium-Ion Battery Packs during Fast Charging Process in Electric Vehicles

A highly-integrated and efficient commercial distributed EV battery balancing system

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