scholarly journals Internal resistance of cells of lithium battery modules with FreedomCAR model

2009 ◽  
Vol 3 (4) ◽  
pp. 702-710 ◽  
Author(s):  
H. Culcu ◽  
B. Verbrugge ◽  
N. Omar ◽  
P. Van Den Bossche ◽  
J. Van Mierlo
Keyword(s):  
Lithium Battery ◽  
Internal Resistance

State of Charge Estimation Algorithm Based on Fractional Order Adaptive Extended Kalman Filter and Unscented Kalman Filter

2021 ◽  
pp. 1-32
Author(s):  
Weijie Liu ◽  
Hongliang Zhou ◽  
Zeqiang Tang ◽  
Tianxiang Wang
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Fractional Order ◽  
Lithium Battery ◽  
Unscented Kalman Filter ◽  
Estimation Algorithm ◽  
Internal Resistance ◽  
Second Order ◽  
State Of Charge ◽  
Adaptive Extended Kalman Filter

Abstract Accurate estimation of battery state of charge (SOC) is the basis of battery management system. the fractional order theory is introduced into the second-order resistance-capacitance (RC)model of lithium battery and adaptive genetic algorithm is used to identify the parameters of the second-order RC model based on fractional order. Considering the changes of internal resistance and battery aging during battery discharge, the battery health state (SOH) is estimated based on unscented Kalman filter (UKF), and the values of internal resistance and maximum capacity of the battery are obtained. Finally, a novel estimation algorithm of lithium battery SOC based on SOH and fractional order adaptive extended Kalman filter (FOAEKF) is proposed. In order to verify the effectiveness of the proposed algorithm, an experimental system is set up and the proposed method is compared with the existing SOC estimation algorithms. The experimental results show that the proposed method has higher estimation accuracy, with the average error lower than 1% and the maximum error lower than 2%.

The Application of UKF Algorithm for 18650-type Lithium Battery SOH Estimation

2014 ◽  
Vol 519-520 ◽  
pp. 1079-1084 ◽  
Author(s):  
Zhao Ping Chen ◽  
Qiu Ting Wang
Keyword(s):  
Kalman Filtering ◽  
Lithium Battery ◽  
Working Condition ◽  
Estimation Method ◽  
Equivalent Circuit Model ◽  
Internal Resistance ◽  
Estimation Model ◽  
Battery Model ◽  
Ohmic Resistance ◽  
Electrochemical Model

Lithium battery is widely used in recent years. In this paper, an improved battery model combined with the equivalent circuit model and the electrochemical model is established. The main efforts of our study are: Firstly, the Ohmic resistance of the battery model is identified online based on the Unscented Kalman Filtering (UKF) algorithm. Secondly, the estimation model of the State of Health (SOH) for the 18650-type battery is established. Thirdly, an improved battery SOH estimation method based on UKF algorithm is proposed. The experimental results indicate that our new battery model considers the different value of the battery internal resistance on the different working condition, like the different voltage, the different current and the different temperature.

scholarly journals Research on Equalization Control Strategy of Marine Lithium Battery Pack

2021 ◽  
Vol 2137 (1) ◽  
pp. 012020
Author(s):  
Qi Sun ◽  
Yi Quo
Keyword(s):  
Power Systems ◽  
Control Strategy ◽  
Control Algorithm ◽  
Lithium Battery ◽  
Control Variable ◽  
Clean Energy ◽  
Internal Resistance ◽  
Battery Pack ◽  
Equilibrium Control ◽  
The Individual

Abstract With the widespread use of clean energy in ship electric power systems, marine lithium battery systems are becoming more and more popular. Aiming at the problems between the individual cells in the lithium battery pack, such as inconsistency in voltage, capacity, and internal resistance, the state of charge (SOC) of battery is selected as the equalization control variable, an equalization topology structure based on SOC for battery connecting or bypassing is designed. The equilibrium control strategy fusing model predictive control (MPC) algorithm and time-sequence control algorithm is adopted. The simulation model is built on the MATLAB/Simulink platform, and the different value combinations of two equalization parameters (i.e., equalization period T and number of batteries connected to the battery pack q) were simulated and analyzed. The results show that the designed equalization control strategy can quickly and accurately achieve SOC equalization, by optimizing two key parameters, the equalization accuracy and equalization speed of the marine lithium battery pack can be improved, also the energy loss in the equalization process can be reduced.

Preparation of polyaniline hollow microspheres/zinc composite and its application in lithium battery

2018 ◽  
Vol 31 (2) ◽  
pp. 178-185 ◽  
Author(s):  
Zhihua Li ◽  
Yuting Shen ◽  
Yanbo Li ◽  
Feng Zheng ◽  
Lanlan Liu ◽  
...  
Keyword(s):  
Self Assembly ◽  
High Performance ◽  
Lithium Battery ◽  
Ac Impedance ◽  
Internal Resistance ◽  
Hollow Microspheres ◽  
Assembly Method ◽  
Discharge Efficiency ◽  
A Current ◽  
Charge Discharge

Polyaniline (PANI) hollow microspheres were synthesized by a self-assembly method in aqueous solution of poly (2-acrylamido-2-methylpropane sulfonic acid) (PAMPS), and then microspheric zinc (Zn) was introduced into PANI to prepare PANI hollow microspheres/Zn composite. The structure and morphology of as-synthesized samples were investigated by Fourier transform infrared spectroscopy, ultraviolet–visible spectroscopy, and scanning electron microscopy, respectively. The charge/discharge property, cyclic voltammetry, and alternating current (AC) impedance spectroscopy of as-prepared samples were also examined in detail. The results showed that the electrical conductivity of PANI/Zn composite reached 21.2 ± 0.16 S/cm at 20 wt% of Zn, which was 11.4 S/cm higher than that of PANI. The first discharge capacity of PANI/Zn lithium battery reached 570.8 mAh/g at a current density of 0.2 mA/cm2. After 15 cycles, it remained at 159 mAh/g, which was 107 mAh/g higher than that of PANI lithium battery. Furthermore, the results of AC impedance test showed that the addition of Zn powders significantly reduced the internal resistance of battery. Compared with PANI, PANI/Zn composite showed greater capacity, higher conductivity, and charge/discharge efficiency, which was more suitable for the cathode material of high performance lithium battery.

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