Optimal energy management strategy for self-reconfigurable batteries

Bouchhima, Nejmeddine; Schnierle, Marc; Schulte, Sascha; Birke, Kai Peter

doi:10.1016/j.energy.2017.01.043

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…In recent years, reconfigurable battery packs have been gained more and more attention due to their good application prospects, and their most prominent advantages are high energy utilization and the ability to dynamically reconfigure the battery cell topology according to the demand of the battery pack. The reconfigurable topology and the control strategy matched with it provide solutions to the problems of low energy transfer efficiency, short lifetime, and low reliability of battery packs [1,2]. The available battery pack capacity depends on the weakest cell, and the system is cut off while the weakest cell reaches a defined threshold.…”

Section: Introductionmentioning

confidence: 99%

Research on reconfigurable topology layered equalization method based on maximum capacity utilization

Tu,

Xie

2023

PLoS ONE

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To maximize the driving range of electric vehicles, battery imbalance is the primary factor that hinders the full utilization of battery pack capacity. This article is based on a four-switch reconfigurable topology, which can flexibly connect, bypass, and parallel any battery cell within the module, and can maintain low voltage fluctuations without the need for a DC-DC converter. Based on this topology, a hierarchical equilibrium strategy combining inter-module K-means clustering analysis and intra-module splitting and recombination is proposed. This strategy can achieve full cell balance, thereby ensuring the maximum capacity utilization of the battery pack. The topology structure composed of 8 batteries was validated, and the experimental results confirmed that the proposed hierarchical balancing strategy supported by the reconfigurable topology increased the capacity utilization of the battery pack by 15.93%, and the maximum fluctuation rate of the battery pack terminal voltage was 0.9%.

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Section: Introductionmentioning

confidence: 99%

Research on reconfigurable topology layered equalization method based on maximum capacity utilization

Tu,

Xie

2023

PLoS ONE

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“…Section 6 concludes the paper. [23] proposes a CIEC, where an inductor is put between two adjacent cells to transfer energy from a high SOC cell to a low SOC cell, as illustrated in Figure 3. However, the energy transfer is limited to adjacent cells.…”

Section: Introductionmentioning

confidence: 99%

Active Equalization Strategy for Lithium-Ion Battery Packs Based on Multilayer Dual Interleaved Inductor Circuits in Electric Vehicles

Lei

Fan

et al. 2022

Journal of Advanced Transportation

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Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs) due to their superior power performance over other batteries. However, when connected in series, overcharged cells of LIBs face the risk of explosion, and undercharged cells decrease the life cycle of the battery. Eventually, the inconsistency phenomenon between cells resulting from manufacturing tolerance and usage process reduces the overall charging capacity of the battery and increases the risk of explosion after long-time use. Research has focused on synthesizing active material to achieve higher energy density and extended life cycle for LIBs while neglecting a comparative analysis of equalization technology on the performance of battery packs. In this paper, a nondissipative equalization structure is proposed to reconcile the inconsistency of series-connected LIB cells. In this structure, a circuit uses high-level equalization units to enable direct energy transfer between any two individual cells, and dual interleaved inductors in each equalization unit increase the equalization speed of a single cell in one equalization cycle by a factor of two. The circuit is compared with the classical inductor equalization circuit (CIEC), dual interleaved equalization circuit (DIEC), and parallel architecture equalization circuit (PAEC) in the states of standing, charging, and discharging, respectively, to validate the advantages of the proposed scheme. Considering the diversity of imbalance states, the state of charge (SOC) and terminal voltage are both chosen as the equalization criterion. The second-order RC model of the LIB and the adaptive unscented Kalman filter (AUKF) algorithm are employed for SOC estimation. For effective equalization, the adaptive fuzzy neural network (AFNN) is utilized to further reduce energy consumption and equalization time. The experiment results show that the AFNN algorithm reduces the total equalization time by approximately 37.4% and improves equalization efficiency by about 4.89% in contrast with the conventional mean-difference algorithm. Particularly, the experiment results of the equalization circuit verification certify that the proposed equalization structure can greatly accelerate the equalization progress and reduce the equalization loss compared to the other three equalization circuits.

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“…Similarly, Ni Lin et al proposed a theoretical framework to optimize the performance of dynamically configurable batteries for electric vehicles [5]. In their 2016 and 2018 papers, Sebastian Steinhorst et al discussed different Battery System Management Architectures (BSMAs) that follow the trend of decentralized management and reconfigurable battery cell connection topology [6] [7]. They found that the advantages of reconfigurable batteries are cell balancing and the isolation of defective cells.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Implementation of a Highly Efficient Solar-Powered Storage Installation through Self-Reconfigurable Batteries

Zavos¹,

Danilov²,

Notten³

2022

OJEE

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Optimal energy management strategy for self-reconfigurable batteries

Cited by 14 publications

References 19 publications

Research on reconfigurable topology layered equalization method based on maximum capacity utilization

Research on reconfigurable topology layered equalization method based on maximum capacity utilization

Active Equalization Strategy for Lithium-Ion Battery Packs Based on Multilayer Dual Interleaved Inductor Circuits in Electric Vehicles

Modeling and Implementation of a Highly Efficient Solar-Powered Storage Installation through Self-Reconfigurable Batteries

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