A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

Yang, Fangfang; Wang, Dong; Zhao, Yang; Tsui, Kwok Leung; Bae, Suk Joo

doi:10.1016/j.energy.2017.12.144

Cited by 253 publications

(113 citation statements)

References 26 publications

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“…According to the data that were assembled from the cycle life experiments of two kinds of commercial lithium-ion battery cells containing NMC battery cells and LFP battery cells, which were experimentally studied the long-term coulombic efficiency development and its correspondence with the battery cell degradation. The findings demonstrate that NMC and LFP cells display two different aging behaviors [5].…”

Section: Introductionmentioning

confidence: 92%

Effect of Current Rate and Prior Cycling on the Coulombic Efficiency of a Lithium-Ion Battery

2019

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The determination of coulombic efficiency of the lithium-ion batteries can contribute to comprehend better their degradation behavior. In this research, the coulombic efficiency and capacity loss of three lithium-ion batteries at different current rates (C) were investigated. Two new battery cells were discharged and charged at 0.4 C and 0.8 C for twenty times to monitor the variations in the aging and coulombic efficiency of the battery cell. In addition, prior cycling was applied to the third battery cell which consist of charging and discharging with 0.2 C, 0.4 C, 0.6 C, and 0.8 C current rates and each of them twenty times. The coulombic efficiency of the new battery cells was compared with the cycled one. The experiments demonstrated that approximately all the charge that was stored in the battery cell was extracted out of the battery cell, even at the bigger charging and discharging currents. The average capacity loss rates for discharge and charge during 0.8 C were approximately 0.44% and 0.45% per cycle, correspondingly.

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Section: Introductionmentioning

confidence: 92%

Effect of Current Rate and Prior Cycling on the Coulombic Efficiency of a Lithium-Ion Battery

2019

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“…Here, we offer some explanations about CE. Theoretically, when a cell is free of undesired side reactions, its CE should permanently be 1.00 [36]. In fact, the CE value is not always equal to 1, and it is related to many battery parameters such as SOC, current rate, operating temperature, and battery capacity degradation.…”

Section: Battery Modelingmentioning

confidence: 99%

A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

Hou

Yan

et al. 2019

Energies

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An accurate state of charge (SOC) estimation is vital for safe operation and efficient management of lithium-ion batteries. To improve the accuracy and robustness, an adaptive and robust square root cubature Kalman filter based on variational Bayesian approximation and Huber’s M-estimation (VB-HASRCKF) is proposed. The variational Bayesian (VB) approximation is used to improve the adaptivity by simultaneously estimating the measurement noise covariance and the SOC, while Huber’s M-estimation is employed to enhance the robustness with respect to the outliers in current and voltage measurements caused by adverse operating conditions. A constant-current discharge test and an urban dynamometer driving schedule (UDDS) test are performed to verify the effectiveness and superiority of the proposed algorithm by comparison with the square root cubature Kalman filter (SRCKF), the VB-based SRCKF, and the Huber-based SRCKF. The experimental results show that the proposed VB-HASRCKF algorithm outperforms the other three filters in terms of SOC estimation accuracy and robustness, with a little higher computation complexity.

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“…33 The state-of-charge estimation was conducted by using the H-infinity observer, 34 in which the hysteresis characteristic was also considered. 38 The relationship of coulomb efficiency and energy decrease was studied, 39 and the extended Kalman filtering-based materialization model was built by using the charge curve 40 to construct a new Gaussian processing regression model. 37 The effective implementation of charge replacement was also conducted in the hybrid electrical energy storage system.…”

Section: Introductionmentioning

confidence: 99%

A novel weight coefficient calculation method for the real‐time state monitoring of the lithium‐ion battery packs under the complex current variation working conditions

Wang

Fernandez

Xie

et al. 2019

Energy Science & Engineering

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A novel real-time state monitoring method is proposed to realize the real-time energy management of the lithium-ion battery packs, which is conducted in the iterative computational calculation process by introducing an improved weighting factorunscented Kalman filtering algorithm. The accurate state monitoring treatment is investigated by applying a new iterate calculation thought, in which the improved weight coefficient parameter is constructed and its numerical stability is improved.Meanwhile, the recursive calculation is derived by using the real-time measured factors, according to which the state-of-charge estimation is realized accurately. Aiming to adapt the complex current variation working conditions, the nonlinear treatment is introduced to construct the mathematical unscented transforming function. As can be known from the experimental results, the state-of-charge estimation accuracy is 98.34% under the complex current charge-discharge working conditions. Meanwhile, the effective closed-circuit voltage trackage is also investigated accurately and its tracking error is within 3.51% in the complex working conditions, which provides a good security guarantee for the reliable energy supply of the lithium-ion battery packs. K E Y W O R D Scomplex current variation, Kalman filter, lithium-ion battery, state monitoring, unscented transform, weight coefficient | 3039 WANG et Al.

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A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

Cited by 253 publications

References 26 publications

Effect of Current Rate and Prior Cycling on the Coulombic Efficiency of a Lithium-Ion Battery

Effect of Current Rate and Prior Cycling on the Coulombic Efficiency of a Lithium-Ion Battery

A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

A novel weight coefficient calculation method for the real‐time state monitoring of the lithium‐ion battery packs under the complex current variation working conditions

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