The accuracy of lithium-ion battery state of charge (SOC) estimation affects the driving distance, battery life, and safety performance of electric vehicles. ... Improved Backward Smoothing Square Root Cubature Kalman Filtering and Fractional Order—Battery Equivalent Modeling for Adaptive State of Charge Estimation of Lithium …
State of Charge Estimation for Lithium‐Ion Battery by Using Dual Square ...
4. Experiments and Analysis 4.1. Experimental Setup. To validate the proposed method, a battery test bench has been set up in Figure 3 consists of tested battery (18650 lithium-ion battery, 4.2 V/2.5 Ah), a DC power supply for battery charging (IV-3605, IVYTECH, China), a DC electronic load for battery discharging (LK-15A, …
Modeling and state of charge estimation of lithium-ion battery
Modeling and state of charge (SOC) estimation of lithium-ion (Li-ion) battery are the key techniques of battery pack management system (BMS) and critical to its reliability and safety operation. An auto-regressive with exogenous input (ARX) model is derived from RC equivalent circuit model (ECM) due to the discrete-time characteristics …
Applied Sciences | Free Full-Text | Overview of …
Lithium-ion (Li-ion) batteries have higher energy density, longer cycle life, and no memory effect compared with other battery types [1, 2]. Additionally, the price of the li-ion battery continues to decline, which …
Parameter identification of a lithium-ion battery based …
Abstract. Accurate parameter identification of a lithium-ion battery is a critical basis in the battery management systems. Based on …
Enhanced SOC estimation of lithium ion batteries with RealTime …
However, precisely and adaptively estimating SOC under dynamic driving conditions remains an enormous challenge 14. Better State of Charge (SOC) estimates of …
Improved splice‐electrochemical circuit polarization modeling and ...
The internal nonlinearity of the lithium-ion battery makes its mathematical modeling a big challenge. In this paper, a novel lithium-ion battery splice-electrochemical circuit polarization (S-ECP) model is proposed, which integrates the strengths of various lithium-ion battery models and refines the ohm and polarization characteristics of the …
Adaptive state-of-charge estimation of lithium-ion batteries based …
Lithium-ion battery modeling and parameter identification based on fractional theory. Energy, 165 (2018), pp. 153-163. View PDF View article View in Scopus ... State-of-charge estimation of lithium-ion battery using square root spherical unscented Kalman filter (Sqrt-UKFST) in nanosatellite. IEEE Trans Power Electron, 30 (9) (2014), …
Parameter identification method for lithium-ion batteries based on ...
Optimal parameter identification strategy applied to lithium-ion battery model for electric vehicles using drive cycle data. 2024, Energy Reports ... Accurate state of temperature estimation for Lithium-Ion batteries based on square root cubature Kalman filter. 2024, Applied Thermal Engineering.
A novel back propagation neural network-dual extended Kalman …
State-of-charge (SOC) and state-of-health (SOH) play a key role in the safety and reliability of batteries.To improve the real-time estimation accuracy of battery state, a novel back propagation neural network-dual extended Kalman filter method for SOC and SOH co-estimation of lithium-ion batteries based on limited memory recursive least …
State of charge estimation by square root cubature particle filter ...
In this paper, a square root cubature particle filter approach was designed to estimate the state of charge of lithium-ion battery, which not only enhanced the numerical stability and guaranteed positive definiteness of the state covariance, but also increased accuracy and decreased computation quantity. Due to the fractional …
Accurate state of temperature estimation for Lithium-Ion batteries ...
Accurate state of temperature estimation for lithium-ion batteries is essential to ensure its safe and efficient operations. In this study, a state of temperature estimation framework for cylindrical lithium-ion batteries is proposed based on square root cubature Kalman filter algorithm, wherein the internal and surface temperatures of power battery are accurately …
State of charge estimation for lithium-ion battery based on …
In Section 2, the 2-order RC equivalent circuit model of lithium-ion battery is established and the online parameter identification method based the VFFRLS is described. ... State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter. Energy, 271 (2023), Article …
Lithium-ion Battery Model Parameter Identification Using Modified …
Particularly, in a continuous application, it is constantly needed to utilize a precise online battery model parameters identification algorithm. In this study, a modified adaptive …
Accurate State of Temperature Estimation for Lithium-Ion …
2 Lithium-Ion Batteries Based on Square Root Cubature 3 Kalman Filter 4 ... 13 insight into the cooling simulation and thermal abuse modeling of lithium-ion batteries. The model considers
Fast electrochemical impedance spectroscopy of lithium-ion batteries ...
Two points should be paid special attention to when conducting square wave excitation EIS measurement for lithium batteries: (a) The amplitude depends on the resistance of the tested system; (b) Measurement may cause potential fluctuation, especially under low-frequency test. 25, 26 The electrochemical model and equivalent model of …
Lithium Ion Battery Models and Parameter …
The literature contains much research on the modeling of lithium ion batteries. These models can refer to a certain physical aspect such as electrical, thermal, or aging aspects, or to a mixture of these.
Improved Backward Smoothing
Accurate lithium-ion battery charge state estimation is crucial for battery management systems. For the modeling of dual polarization - electrical equivalent circuit based on ternary lithium ...
Accurate lithium-ion battery charge state estimation is crucial for battery management systems. Modeling of dual polarization—electrical equivalent circuit based on ternary lithium batteries as a research object, a variable forgetting factor recursive least square method is proposed for parameter identification given the insufficient tracking …
Online battery model parameters identification approach based …
Research on lithium battery model parameter identification algorithm based on differential evolution method. Electr Eng (7) (2021), pp. 35-37. Google Scholar ... State of charge (SOC) estimation of lithium-ion battery based on adaptive square root unscented kalman filter. Int J Electrochem Sci, 15 (9) (Sep 2020), pp. 9499-9516.
Battery multi-time scale fractional-order modeling method for …
Experimental study of fractional-order models for lithium-ion battery and ultra-capacitor: modeling, system identification, and validation. Appl. Energy, 278 (2020) Google Scholar [23] ... State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter. Energy, 271 …
Improved forgetting factor recursive least square and adaptive square ...
Aiming at many problems such as the changes in the parameters of the lithium battery model and the accurate estimation of the SOC and SOE, this paper proposes a joint algorithm of forgetting ...
State of charge estimation of lithium-ion batteries based on PSO …
Chen et al. [28] estimated the state of charge of lithium battery based on fractional order adaptive square root cubic Kalman filter (FO-ASRCKF), and the results showed that the proposed FO-ASRCKF model could work properly under various operating conditions and had a high SOC estimation accuracy. Besides, it could overcome the …
