A double-layer ring-structured equalizer for series-connected lithium-ion battery pack based on model predictive control

Xia, Bizhong; Li, Yuheng; Zhang, Guanyong; Cheng, Qun; Ding, Fanxing

doi:10.1016/j.est.2023.110047

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2023.110047

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A double-layer ring-structured equalizer for series-connected lithium-ion battery pack based on model predictive control

Bizhong Xia,

Yuheng Li,

Guanyong Zhang

et al.

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2024

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Cited by 3 publications

References 27 publications

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An intelligent active equalization control strategy based on deep reinforcement learning for Lithium-ion battery pack

Xia,

Ding,

Yue

et al. 2024

Journal of Energy Storage

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An intelligent active equalization control strategy based on deep reinforcement learning for Lithium-ion battery pack

Xia,

Ding,

Yue

et al. 2024

Journal of Energy Storage

View full text Add to dashboard Cite

Hierarchical equalization scheme for retired lithium-ion battery packs based on inductor-flyback transformer

Liu,

Ma,

Wang

et al. 2024

Journal of Energy Storage

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Simulation of fuzzy logic and PI control methods on a bridgeless isolated SEPIC converter for electric vehicle chargers

Uğurluoğlu,

Karaarslan

2024

Int. Adv. Res. Eng. J.

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Studies in literature and the increasing trend of electrification show that electric vehicles (EVs) will become more widespread in the future. However, the growing demand for EV chargers causes an overload on the grid. Furthermore, EV chargers generate power factor distortion and harmonics, which contaminate the grid and lower the quality of power. Therefore, power factor correction (PFC) is applied by EV chargers to mitigate the harmonics. As defined in the IEC 61000-3-2 standard, the total harmonic distortion (THD) shall be less than 5%. In this study, a better PFC operation is achieved with the proposed bridgeless isolated single ended primary inductor converter (BL SEPIC) topology as an EV charger instead of conventional converter topologies that have diode bridge rectifiers (DBR). Also, the study has better THD outputs as compared with the similar bridgeless (BL) topologies in literature thanks to the simulated control methods of the proportion-integration (PI) and fuzzy control. Moreover, these control methods are compared with each other in terms of THD suppression performance, stability, robustness, and computational effort. The results showed that the fuzzy controller has advantages of stability and robustness against the transient conditions, input voltages and load changes for THD suppression while the PI controller has better THD results only for steady state operation with nominal input voltage and full load conditions. The implemented PI and fuzzy controllers are simulated in a MATLAB Simulink environment.

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A double-layer ring-structured equalizer for series-connected lithium-ion battery pack based on model predictive control

Cited by 3 publications

References 27 publications

An intelligent active equalization control strategy based on deep reinforcement learning for Lithium-ion battery pack

An intelligent active equalization control strategy based on deep reinforcement learning for Lithium-ion battery pack

Hierarchical equalization scheme for retired lithium-ion battery packs based on inductor-flyback transformer

Simulation of fuzzy logic and PI control methods on a bridgeless isolated SEPIC converter for electric vehicle chargers

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