scholarly journals A State-of-Charge and Capacity Estimation Algorithm for Lithium-ion Battery Pack Utilizing Filtered Terminal Voltage

2015 ◽  
Vol 7 (1) ◽  
pp. 71-75 ◽  
Author(s):  
Chang Chun ◽  
Sung Yoon ◽  
B. H. Cho ◽  
Jonghoon Kim
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Estimation Algorithm ◽  
State Of Charge ◽  
Battery Pack ◽  
Capacity Estimation ◽  
Terminal Voltage

Application of Kalman Filter in SOC Estimation of Power Lithium-Ion Battery

2012 ◽  
Vol 605-607 ◽  
pp. 1939-1943
Author(s):  
Chen Zhao ◽  
Xi Kun Chen
Keyword(s):  
Kalman Filter ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Estimation Algorithm ◽  
State Of Charge ◽  
Voltage Response ◽  
Integrated Method ◽  
Soc Estimation ◽  
Terminal Voltage ◽  
State Of Charge Estimation

This paper analyses the application of Kalman Filter (KF) in Power Lithium-ion Battery SOC (State of Charge) estimation algorithm. After the analysis of two popular SOC estimate algorithm based on KF, an improved KF-SOC algorithm is proposed. The main advance of this improved algorithm is the introduction of parameter-rectification. The parameter-rectification which based on analysis of battery electrochemical principle and battery terminal voltage response curve is also achieved by KF. The main algorithm of improved KF-SOC is generated by the combination of KF and Ampere-hour integrated method. Later the simulations proved the new algorithm with high accuracy.

scholarly journals Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 174687-174698
Author(s):  
Yang Liu ◽  
Caiping Zhang ◽  
Jiuchun Jiang ◽  
Yan Jiang ◽  
Linjing Zhang ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Dynamic Time Warping ◽  
Lithium Ion ◽  
Battery Pack ◽  
Time Warping ◽  
Capacity Estimation ◽  
Dynamic Time

scholarly journals Modeling and validation of lithium-ion battery with initial state of charge estimation

2021 ◽  
Vol 21 (3) ◽  
pp. 1317
Author(s):  
Ali Mohsen Alsabari ◽  
M.K Hassan ◽  
Azura CS ◽  
Ribhan Zafira
Keyword(s):  
Lithium Ion Battery ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Industrial Applications ◽  
State Of Charge ◽  
Lookup Table ◽  
Maximum Relative Error ◽  
Initial State ◽  
Internal Parameters ◽  
Terminal Voltage

The modeling of lithium-ion battery is an important element to the management of batteries in industrial applications. Various models have been studied and investigated, ranging from simple to complex. The second-order equivalent circuit model was studied and investigated since the dynamic behavior of the battery is fully characterized. The simulation model was built in Matlab Simulink using the Kirchhoff Laws principle in mathematical equations, while the battery's internal parameters were identified by using the BTS4000 (Battery tester) device. To estimate the full state of charge (SOC), the initial state of charge (SOC0) must be identified or measured. Hence, this paper seeks for the SOC estimation by using experimental terminal voltage data and SOC with Matlab lookup table. Then, the simulated terminal voltage, as well as the SOC of the battery are compared and validated against measured data. The maximum relative error of 0.015 V and 2% for terminal voltage and SOC respectively shows that the proposed model is accurate and relevant based on the error analysis.

Design and Simulation of an Accurate Neural Network State-of-Charge Estimator for Lithium Ion Battery Pack

2017 ◽  
Vol 10 (2) ◽  
pp. 186 ◽  
Author(s):  
Youssef Cheddadi ◽  
Omar Diouri ◽  
Ahmed Gaga ◽  
Fatima Errahimi ◽  
Najia Es-Sbai
Keyword(s):  
Neural Network ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
State Of Charge ◽  
Battery Pack ◽  
Network State
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