Lithium-ion battery fast charging: A review

Tomaszewska, A.; Chu, Zhengyu; Feng, Xuning; O’Kane, Simon; Liu, Xinhua; Chen, Jingyi; Ji, Chenzhen; Endler, Elizabeth; Li, Ruihe; Liu, Lishuo; Li, Yalun; Zheng, Siqi; Vetterlein, Sebastian; Gao, Ming; Du, Jiuyu; Parkes, Michael A.; Ouyang, Minggao; Marinescu, Monica; Offer, Gregory J.; Wu, Billy

doi:10.1016/j.etran.2019.100011

Cited by 1,059 publications

(578 citation statements)

References 246 publications

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“…The equations for the surface and ohmic overpotentials are given in equations (3) and 4, respectively, where J p,n is the current density, J p0,n0 is the exchange current density, V is the overpotential, and τ is the time constant for each overpotential:…”

Section: Discussionmentioning

confidence: 99%

“…Electric vehicles are seeing an increased mass-market adoption due to the rapidly falling cost and increasing performance of Li-ion batteries. [1][2][3] These improvements are enabling the electrification of aviation powertrains with many demonstration flights for short distances. 4,5 In an electric aircraft, power is transferred from the battery energy storage system to propulsive thrust by a high voltage distribution bus, electric motor, and power inverter.…”

mentioning

confidence: 99%

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Universal Battery Performance and Degradation Model for Electric Aircraft

Bills¹,

Sripad²,

Fredericks³

et al. 2020

Preprint

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In this work, we generate a battery performance and thermal dataset specific to eVTOL use-cases and develop a fast and accurate performance and degradation model around that dataset. We use a machine-learning based physics-informed battery performance model to break the typically observed accuracy-computing cost trade-off. We fit the aging parameters for each cycle in a given cell's lifetime, and then model the evolution of those parameters using a new approach that combines traditional physics-based models, consisting of SEI film growth, charge loss, and Li Plating, along with a neural network in a universal ordinary differential equations (u-ODEs) framework.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Universal Battery Performance and Degradation Model for Electric Aircraft

Bills¹,

Sripad²,

Fredericks³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…At present, the industrial standard charging protocol for Li‐ion batteries is the constant current‐constant voltage (CCCV) scheme. Aiming to charge batteries quickly while maintaining health, a number of alternative charging protocols have been proposed . However, none of these protocols takes the specific chemistry of cells into account.…”

Section: Challenges and Strategiesmentioning

confidence: 99%

Challenges and Strategies for Fast Charge of Li‐Ion Batteries

Zhang

2020

ChemElectroChem

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Long charging time for Li‐ion batteries is a critical obstacle for the widespread adoption of electric vehicles, especially when compared with the rapid refueling of traditional internal combustion engine vehicles. Fast charging results in accelerated performance degradation and low energy efficiency for Li‐ion batteries. The batteries adopted in the present electric vehicle market are mainly based on chemistry consisting of a graphite anode and a layered lithium transition‐metal oxide cathode. The fast‐charging capability of such batteries is limited by Li plating on the graphite anode and structural instability of the layered lithium transition‐metal oxide cathode. In this Minireview, the challenges and possible solutions to these fast charge problems are reviewed at both the materials and cell levels.

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“…There will be an approximately 5.89% decreasing in capacity per 5 C temperature range, and the result is similar to other research. 29 However, within the range of temperature from −15 C to −20 C, the capacity is sharply reduced to 587 mAh, which is only 20.41% of the rated capacity, unable to meet the normal working requirements. The reason is that the activity of cathode and anode degraded, meanwhile, the conductivity of electrolyte decreased, and the diffusion rate of lithium ions in the electrolyte declined.…”

Section: The Performance Parameters Testmentioning

confidence: 99%

Preheatingstrategy ofvariable‐frequencypulse for lithium battery in cold weather

2020

Int J Energy Res

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Aiming to the issue of charging difficulty and capacity fading for lithium-ion battery at low temperature, this study proposes a preheating strategy using variablefrequency pulse. The innovation of this paper is to propose the thermo-electric coupling model based on the electrochemical impedance spectroscopy of battery at different temperatures, integrated with variable frequency changing for pulse method to develop an effective inner pre-heating strategy. Meanwhile, the evaluating method of impact of this strategy on capacity fading of battery has also been proposed to examine its effectiveness, to find the optimal strategy. First, temperature rise model and the thermo-electric coupling model at different temperatures according to the equivalent circuit model of battery are presented. Further, optimal heating frequency of current pulse at different temperatures is calculated according to the changing of internal impedance. The results show that the optimal variable-frequency pulse pre-heating strategy can heat the lithium-ion battery from −20 C to 5 C in 1000 seconds. Meanwhile, it brings less damage to the battery health and improves the performance of battery in cold weather based on the views of power consumption, capacity attenuation, and internal impedance changes.

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Lithium-ion battery fast charging: A review

Cited by 1,059 publications

References 246 publications

Universal Battery Performance and Degradation Model for Electric Aircraft

Universal Battery Performance and Degradation Model for Electric Aircraft

Challenges and Strategies for Fast Charge of Li‐Ion Batteries

Preheatingstrategy ofvariable‐frequencypulse for lithium battery in cold weather

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