## Nomenclature  
* [1] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Real-time estimation of state-of-charge in lithium-ion batteries using improved central difference transform method. _J. Clean. Prod._**2020**, _252_, 787-797. [CrossRef]
* [2] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Co-estimation of state of charge and state of power for lithium-ion batteries based on fractional variable-order model. _J. Clean. Prod._**2020**, _255_, 203-216. [CrossRef]
* [3] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep neural network battery life and voltage prediction by using data of one cycle only. _Appl. Energy_**2022**, _306_, 134-144. [CrossRef]
* [4] [PERSON]; [PERSON]; [PERSON] Online estimation of model parameters and state-of-charge of LiFePO\({}_{4}\) batteries in electric vehicles. _Appl. Energy_**2012**, _89_, 413-420. [CrossRef]
* [5] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Recording frequency optimization for massive battery data storage in battery management systems. _Appl. Energy_**2016**, _183_, 380-389. [CrossRef]
* [6] [PERSON]; [PERSON]; [PERSON]; [PERSON] Online SoC estimation of lithium-ion batteries using a new sigma points Kalman filter. _Appl. Sci._**2021**, _11_, 11797. [CrossRef]
* [7] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells. _J. Energy Storage_**2020**, _27_, 101085. [CrossRef]
* [8] [PERSON]; [PERSON]; [PERSON] A unified open-circuit-voltage model of lithium-ion batteries for state-of-charge estimation and state-of-health monitoring. _J. Power Sources_**2014**, _258_, 228-237. [CrossRef]
* [9] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy. _Energy_**2015**, _89_, 678-686. [CrossRef]
* [10] [PERSON]; [PERSON]; [PERSON]; [PERSON] Electrothermal impedance spectroscopy as a cost efficient method for determining thermal parameters of lithium ion batteries: Prospects, measurement methods and the state of knowledge. _J. Clean. Prod._**2017**, _155_, 63-71. [CrossRef]
* [11] [PERSON]; [PERSON]; [PERSON]; [PERSON] A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles. _Appl. Energy_**2014**, _113_, 463-476. [CrossRef]
* [12] [PERSON]; [PERSON]; [PERSON]; [PERSON] Accelerated degradation model for C-rate loading of lithium-ion batteries. _J. Electr. Power Energy Syst._**2019**, _107_, 438-445. [CrossRef]
* [13] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Simplified electrochemical multi-particle model for LiFePO\({}_{4}\) cathodes in lithium-ion batteries. _J. Power Sources_**2015**, _275_, 633-643. [CrossRef]
* [14] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An electro chemical thermal model based on dynamic responses for lithium iron phosphate battery. _J. Power Sources_**2014**, _255_, 130-143. [CrossRef]
* [15] [PERSON]; [PERSON]; [PERSON] Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network. _Energy_**2021**, _232_, 22-32. [CrossRef]
* [16] [PERSON]; [PERSON] Data-driven prediction of battery cycle life before capacity degradation. _Nat. Energy_**2019**, \(4\), 383-391. * [17] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries. _Energy_**2019**, _176_, 91-102. [CrossRef]
* [18] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A deep learning method for online capacity estimation of lithium-ion batteries. _J. Energy Storage_**2019**, _25_, 100817. [CrossRef]
* [19] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Online state of health estimation for lithium-ion batteries based on support vector machine. _Appl.