Active equalization of series/parallel Li-ion battery modules including no-load conditions

Crespo, Miguel; Georgious, Ramy; Garcı́a, Pablo; Villa, Geber

doi:10.1109/ecce44975.2020.9236250

Cited by 5 publications

(1 citation statement)

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“…Wu et al [17] proposed an equilibrium topology based on a Cuk equalizer combined with double-layer selector switch, which led to higher efficiency of energy transfer among batteries. Crespo et al [18] and Li et al [19] uses module-level DC/DC power converters in different circuit structure to achieve active equalization of series or parallel battery modules. Xiong et al [20] proposed a battery equalization circuit on the basis of a bi-directional flyback converter.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Equilibrium Strategy Aiming at Throughput Maximization of Series Battery Pack

Cao

Liu

Zhang

et al. 2021

WEVJ

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In the operation process of a power battery pack, the inconsistency among lithium-ion cells may seriously restrict the pack’s capacity, power capability and lifetime, which may bring hidden danger to the use of electric vehicles. Equalization management systems (EMSs) are crucial to alleviate such inter-cell inconsistency, whose performance such as accuracy and stability, mainly depends on the setting of equalization control strategies. This paper proposes an equalization strategy aimed at throughput maximization of series battery in the whole life cycle based on Model Prediction Control (MPC). In this paper, a Mean-plus-difference model (M+D) model is selected as the series battery model and the parameters are identified by Recursive Least Squares (RLS). Based on the model predictive control theory, the control model of series battery pack is established and the objective function of maximizing the throughput in the whole life cycle is derived. At the end of the paper, the simulation results show that the proposed equalization strategy can achieve greater life cycle throughput compared with the traditional SOC equalization strategy, which verifies the guiding significance of the equilibrium strategy proposed in this paper.

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Section: Introductionmentioning

confidence: 99%