Ultrasonic guided wave measurement and modeling analysis of the state of charge for lithium-ion battery

Jie, Gao; Liangheng, Zhang; Yan, Lyu; Fan, Shi; Bin, Wu; Cunfu, He

doi:10.1016/j.est.2023.108384

Cited by 16 publications

(2 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, recent studies have correlated different characteristics of guided waves to the battery state. [53][54][55] It should be noted that guided waves often operate at lower frequencies than compression waves, and are well suited to prismatic and pouch form factors. [56] Cylindrical LIBs are widely used in consumer electronics and have gained significant traction in the automotive industry, particularly with Tesla's announcement of the cylindrical 4680 format.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Ultrasound Spectroscopy for Screening Cylindrical Lithium‐Ion Batteries for Second‐Life Applications

Montoya‐Bedoya,

Garcia‐Tamayo,

Rohrbach

et al. 2024

Batteries & Supercaps

View full text Add to dashboard Cite

Diagnosing lithium‐ion battery degradation is a crucial part of managing energy storage systems. Recent research has explored ultrasonic testing for non‐invasive health assessment as an alternative to traditional, time‐consuming, electrical‐only methods. Assessing the state of health is vi‐ tal for determining quality at end of ‘first’ life, with retired batteries at 70−80% health still holding value for second‐ life applications. Over the coming years, tens of GWh of salvaged batteries will hit the market, requiring rapid non‐ invasive methods to classify retired batteries according to their state of health. This study uses a 64−element ultrasonic array to obtain mid‐band quantitative ultrasound spectroscopy parameters—including mid‐band fit, spectral slope, and intercept—from circumferential waves around cylindrical batteries. Thirteen cylindrical cells were used to evaluate the methodology: three pristine and ten retired from the same source. The mid‐band fit showed the ability to track the state of charge and discriminate between the state of health levels in accelerated degradation experiments both with pristine batteries, and also with recovered second‐ life batteries with unknown historical use. Linear‐array ultrasonic transducers, coupled with quantitative spectral parameters, show promise for future non‐destructive battery health screening methods, offering valuable insights for the emerging used battery market.

show abstract

Section: Introductionmentioning

confidence: 99%

Quantitative Ultrasound Spectroscopy for Screening Cylindrical Lithium‐Ion Batteries for Second‐Life Applications

Montoya‐Bedoya,

Garcia‐Tamayo,

Rohrbach

et al. 2024

Batteries & Supercaps

View full text Add to dashboard Cite

show abstract

“…Power lithium-ion batteries have remained the dominant power source for new energy vehicles due to their no memory influence, high specific energy, long cycle life, and lack of pollution [1][2][3]. These batteries are widely applied in various fields including portable electronics, electric vehicles, and renewable energy storage [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Kinetic Characteristics for the LBPRM-EHSPCS System

Zhang,

Chen,

Yan

et al. 2023

Processes

View full text Add to dashboard Cite

As the ‘heart’ of energy vehicles, the lithium-ion battery is in desperate need of precision improvement, green production, and cost reduction. To achieve this goal, the electro-hydraulic servo pump control system (EHSPCS) is applied to the lithium-ion battery pole rolling mill (LBPRM). However, this development can lead to limited dynamic performance and large power loss as a result of the EHSPCS unique volume direct-drive control mode. At present, how to solve this conflict has not been studied and how the EHSPCS component parameters influence the dynamic response, power loss, and economic performance is not clear. In this paper, a multi-objective optimization (MOO) model for the LBPRM-EHSPCS is proposed by comprehensively considering the dynamic, efficiency, and economic characteristics. Firstly, the evaluation model of the dynamic response, power loss, and cost is investigated. Then, the NSGA-II algorithm is introduced to address the Pareto front of the MOO model. Finally, the power loss and dynamic response of the LBPRM-EHSPCS before and after optimization are tested to validate the viability of the raised method. Results indicate that power loss is decreased by as much as 7.2% while steady-state precision is greatly improved after optimization. The proposed framework enhances the performance in lithium-ion battery manufacturing and can be applied to other kinds of hydraulic systems.

show abstract

Optimal parameters estimation of lithium-ion battery in smart grid applications based on gazelle optimization algorithm

Hasanien,

Alsaleh,

Tostado-Véliz

et al. 2023

Energy

View full text Add to dashboard Cite

Ultrasonic guided wave measurement and modeling analysis of the state of charge for lithium-ion battery

Cited by 16 publications

References 41 publications

Quantitative Ultrasound Spectroscopy for Screening Cylindrical Lithium‐Ion Batteries for Second‐Life Applications

Quantitative Ultrasound Spectroscopy for Screening Cylindrical Lithium‐Ion Batteries for Second‐Life Applications

Multi-Objective Optimization of Kinetic Characteristics for the LBPRM-EHSPCS System

Optimal parameters estimation of lithium-ion battery in smart grid applications based on gazelle optimization algorithm

Contact Info

Product

Resources

About