Lithium-Ion Diagnostics: The First Quantitative In-Operando Technique for Diagnosing Lithium Ion Battery Degradation Modes under Load with Realistic Thermal Boundary Conditions

Author(s):  
Ryan Prosser ◽  
Gregory J Offer ◽  
Yatish Patel
2017 ◽  
Vol 32 (10) ◽  
pp. 1862-1867 ◽  
Author(s):  
Marco Evertz ◽  
Timo Schwieters ◽  
Markus Börner ◽  
Martin Winter ◽  
Sascha Nowak

A glow discharge-sector field-mass spectrometry (GD-SF-MS) method using matrix-matched self-prepared carbonaceous standards for elemental battery degradation products of (NCM111) electrodes was developed.


2021 ◽  
Vol MA2021-02 (1) ◽  
pp. 179-179
Author(s):  
Valentin Sulzer ◽  
Peyman Mohtat ◽  
Sravan Pannala ◽  
Jason Siegel ◽  
Anna Stefanopoulou

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 306
Author(s):  
Shuqing Li ◽  
Chuankun Ju ◽  
Jianliang Li ◽  
Ri Fang ◽  
Zhifei Tao ◽  
...  

Due to the rapidly increasing energy demand and the more serious environmental pollution problems, lithium-ion battery is more and more widely used as high-efficiency clean energy. State of Charge (SOC) representing the physical quantity of battery remaining energy is the most critical factor to ensure the stability and safety of lithium-ion battery. The novelty SOC estimation model, which is two recurrent neural networks with gated recurrent units combined with Coulomb counting method is proposed in this paper. The estimation model not only takes voltage, current, and temperature as input feature but also takes into account the influence of battery degradation process, including charging and discharging times, as well as the last discharge charge. The SOC of the battery is estimated by the network under three different working conditions, and the results show that the average error of the proposed neural network is less than 3%. Compared with other neural network structures, the proposed network estimation results are more stable and accurate.


Author(s):  
Anderson Hoke ◽  
Alexander Brissette ◽  
Kandler Smith ◽  
Annabelle Pratt ◽  
Dragan Maksimovic

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