An analytical model for the CC-CV charge of Li-ion batteries with application to degradation analysis

Liu, Haining; Naqvi, Ijaz Haider; Li, Fajia; Liu, Chengliang; Shafiei, Neda; Li, Yulong; Pecht, Michael

doi:10.1016/j.est.2020.101342

Cited by 36 publications

(16 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of new charging methods that could effectively balance both battery degradation as well as fast charging, remains a challenge. Reflex charging methods that have been proposed can only apply to a very short discharging pulse during pulse charging and resting periods [12]. As passivation layers develop mainly via reduction reaction, the discharging pulse in reflex charging method could be used to reduce unwanted chemical reactions at the electrode surface, such as side chemical formation, crystal growth, and passivation in nickel-cadmium batteries.…”

Section: Introductionmentioning

confidence: 99%

Suppressing Anodic Degradation of Lithium-Ion Batteries by Sinusoidal Waveform Charging Method

Sangeetha

Mon-Yan

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The effects of Constant current-Constant voltage charging and combined sinusoidal waveform charging methods on the internal structure of LiFePO 4 battery have been discussed in detail in this study. Experimental results clearly indicated that after 600 cycles, the battery that utilized the charging method had retained about 94% of state of health. In the electrochemical impedance analysis and cyclic voltammetry tests, the portion of the SEI film impedance was increased about 0.08 mΩ. In the micro structured view, no significant SEI film formation was observed on the surface of the negative electrode that used the battery in the present charging method. Finally, in the analysis of the SEI film composition, it was found that the Li 2 CO 3 and Li 2 O content in the Li element was only about 15.97% and 4.42% in the battery employing this charging method, and the battery component contents in the CC-CV charging method were 27.2% and 6.69% respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

Suppressing Anodic Degradation of Lithium-Ion Batteries by Sinusoidal Waveform Charging Method

Sangeetha

Mon-Yan

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The CCCV charging procedure as a universal method is recommended by the battery manufacturers [22]. This charging protocol has been widely used to perform the charging experiments in the literature because of its high efficiency and sufficient protection [23]. Therefore, the CCCV charging procedure was preferred to perform the charging experiments.…”

Section: Experimental Methodsmentioning

confidence: 99%

Investigation of Open Circuit Potential of Lithium-Ion Battery by The Taguchi Design

Moralı

2021

International Journal of Automotive Science and Technology

View full text Add to dashboard Cite

Lithium-ion batteries are widely used in electric vehicles. A robust battery management system is a very important issue for lithium-ion batteries due to the safety of electric vehicles. In this study, simultaneous main influences of charg-ing factors on open circuit potential were statistically determined by using the Taguchi design. The response table and variance analysis were performed to de-termine the significant charging factors on a lithium-ion battery. The results showed that the battery potential was the most influential charging factor to the open circuit potential. Furthermore, the statistically significant correlation be-tween each charging factor and open circuit potential was determined based on a 95% significance level. The interactions between charging factors were demon-strated by the non-parallel lines presented on the interaction plots. The findings can guide the battery management and control methods for lithium-ion batteries used in electric vehicles.

show abstract

“…CCCV [47] 1.11 1.41 0.8771 3.82 DT [36] 2.41 2.75 0.5297 8.43 FPs 0.58 0.80 0.9605 2.72 B07 Regional capacity [46] 1.74 2.45 0.9502 6.06…”

Section: B48mentioning

confidence: 99%

State‐of‐Health Estimation of Lithium‐Ion Batteries Based on Thermal Characteristics Mining and Multi‐Gaussian Process Regression Strategy

Guo

Wang

et al. 2022

Energy Tech

View full text Add to dashboard Cite

Accurate prediction of the state of health (SOH) is essential to ensure the safety and reliability of battery operation. The thermal factor is an important indicator of SOH and many methods based on temperature are sensitive to measurement noise. To improve SOH estimation precision, a new health indicator (HI) directly extracted from the temperature curve is developed and an integrated multi-Gaussian process regression (MGPR) model is proposed. First, based on the trend analysis of the charging temperature curves with battery degradation, three features that can reflect thermal characteristics are extracted as the HI. Second, considering that the model generated by machine learning is influenced by the training dataset and the inherent inconsistencies in batteries, MGPR model is proposed to improve the model fitness. The training data is reformed and multiple GPR models are established. The multiple models are weighed by taking into account the prediction uncertainty to get the final SOH estimation result. Finally, two types of open-source data relative to different ambient temperatures and operating profiles are used to verify the performance. Experiment results show that the HI developed can characterize the battery degradation well and the MGPR model has high robustness and can obtain high-precision estimation results.

show abstract

An analytical model for the CC-CV charge of Li-ion batteries with application to degradation analysis

Cited by 36 publications

References 27 publications

Suppressing Anodic Degradation of Lithium-Ion Batteries by Sinusoidal Waveform Charging Method

Suppressing Anodic Degradation of Lithium-Ion Batteries by Sinusoidal Waveform Charging Method

Investigation of Open Circuit Potential of Lithium-Ion Battery by The Taguchi Design

State‐of‐Health Estimation of Lithium‐Ion Batteries Based on Thermal Characteristics Mining and Multi‐Gaussian Process Regression Strategy

Contact Info

Product

Resources

About