Design of Multi-Channel Lithium-Ion Battery Test System

2013 ◽  
Vol 694-697 ◽  
pp. 1358-1362
Author(s):  
Yong Cai ◽  
Ji Wei Deng ◽  
Tai Hong Wang
Keyword(s):  
Lithium Ion Battery ◽  
Computer Control ◽  
Lithium Ion ◽  
Internal Resistance ◽  
Test System ◽  
Control Circuit ◽  
Accurate Judgment ◽  
Actual Use ◽  
Test Requirements ◽  
Upper Computer

At present, the Lithium-ion battery are the most used batteries in a large number of applications because of its high performances. It is important for Lithium-ion battery to make objective and accurate judgment to its performances before the practical application. A multi-channel high precision Lithium-ion battery test system, which could realize complex measure control, was designed in this paper. The system consists of upper computer (PC) and lower computer (control circuit unit). The communication between upper computer and lower computer is through RS-485 bus. The control circuit unit, which is mainly composed of micro-processor, control circuit, data acquisition circuit and protection circuit, can realize the function of testing Lithium-ion battery performances such as charging, discharging, internal resistance. Furthermore, based on actual use conditions it has shown that the system can accurately measure various Lithium-ion performance parameters and the current measurement accuracy can satisfy the test requirements.

Research of Lithium-Ion Battery Sorting Method Based on Fuzzy C-Means Algorithm

2011 ◽  
Vol 354-355 ◽  
pp. 983-988 ◽  
Author(s):  
Lei Guo ◽  
Gen Wang Liu
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Test System ◽  
Cluster Number ◽  
Sorting Method ◽  
Fuzzy C Means ◽  
Weighted Index ◽  
Fuzzy C Means Algorithm

A method that applies Fuzzy C-Means algorithm (FCM) in lithium-ion battery sorting in formation and test system is presented. The original Fuzzy C-Means algorithm is optimized, and weighted index m and cluster number c are analyzed. Through battery sorting experiment, this method is verified to be feasible and practical.

Reducing of internal resistance lithium ion battery using glucose addition

2016 ◽  
Author(s):  
Andri Pratama Salim ◽  
Noor Hafidlullah ◽  
Agus Purwanto
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Internal Resistance ◽  
Glucose Addition

scholarly journals Modeling and Experimental Verification of Heat Dissipation Model for Test System of Li-ion Battery Test-bench

2021 ◽  
Vol 2066 (1) ◽  
pp. 012088
Author(s):  
Jie Qu ◽  
Meihua Huang ◽  
Chao Wang
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Lithium Ion Battery ◽  
Heat Dissipation ◽  
Test Bench ◽  
Lithium Ion ◽  
Element Model ◽  
Test System ◽  
Optimal Test ◽  
The Finite Element Model

Abstract In order to develop a test-bench which can accurately test the mechanical signal of lithium-ion battery under various working conditions, the finite element model of heat dissipation simulation is established for different test systems designed in the mechanical system of the test-bench. At the same time, pulse excitation experiments are used to verify the simulation results, and the bulk force experiments are carried out to verify the optimal test system structure chosen accord to the simulation results. The mechanical structure of a test system is composed of a lithium-ion battery and upper/lower spacer. In its finite element model, the finite element model of the lithium-ion battery is established by the actual measurement after cutting lithium-ion battery by a diamond cutter, and spacers are established according to their actual design. The heat dissipation simulation finite element model can simulate the heat dissipation of an actual test system, which is conducive to the design and selection of an optimal test system, so as to improve the accuracy of test data measured through the test-bench and provide a reliable data basis for the development of the battery management system coupling temperature-current-voltage-swell-force.

scholarly journals An equivalent circuit model analysis for the lithium-ion battery pack in pure electric vehicles

2019 ◽  
Vol 52 (3-4) ◽  
pp. 193-201 ◽  
Author(s):  
Jie Su ◽  
Maosong Lin ◽  
Shunli Wang ◽  
Jin Li ◽  
James Coffie-Ken ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Equivalent Circuit ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Internal Resistance ◽  
Circuit Model ◽  
Battery Pack ◽  
Power Pulse ◽  
Simulation Error ◽  
Joint Experiment

According to the demand of vehicle lithium-ion battery pack, the splice equivalent circuit model is constructed. First, a joint experiment of intermittent discharge and hybrid power pulse characterization, basis of the requirements of parameter identification for the model, is designed to identify the parameters. Study shows that it can identify the parameters. Second, the splice equivalent circuit model of vehicle lithium-ion battery pack is simulated by MATLAB/Simulink, which shows the model is feasible to describe the vehicle lithium-ion battery pack. The simulation error of ohmic internal resistance R0 should be less than 0.05 mΩ. Study suggests that the vehicle lithium-ion battery pack has a stable discharge period within the state-of-charge range of [20%, 80%]. However, when stage of charge is below 20%, vehicle lithium-ion battery pack is no longer stable and the parameters of the splice equivalent circuit model change dramatically.

SOC Estimation of Lithium-Ion Battery Packs Based on Thevenin Model

2013 ◽  
Vol 299 ◽  
pp. 211-215 ◽  
Author(s):  
Yuan Qi Fang ◽  
Xi Ming Cheng ◽  
Yi Lin Yin
Keyword(s):  
Lithium Ion Battery ◽  
Equivalent Circuit ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Test System ◽  
Experimental Result ◽  
Current Collection ◽  
Soc Estimation ◽  
Test Platform ◽  
Battery Packs

Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Thevenin equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of computation involved in online estimation. Based on above-mentioned objectives and principles, a test platform composed of Digatron battery test system and thermostat was built. Experimental result has confirmed that the combination of EKF algorithm with Thevenin model can improve precision and reduce amount of computation.

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