Experimental Assessment of the Lumped Lithium Ion Battery Model at Different Operating Conditions
19
Citation
35
Reference
10
Related Paper
Citation Trend
Abstract:
This study investigates the electrical and thermal characteristics of a cylindrical lithium-ion cell with an axisymmetric two-dimensional lumped model. The cell is completely discharged at 0.5, 1 and 1.5 C rates under 0, 20 and 50 °C operating temperatures. Both the open circuit voltage values and the average specific heat value of the cell are measured and used as an input to the model. The model uses the variable internal resistance approach to evaluate the voltage variation of the cell that is obtained from experimental data. A cylindrical lithium-ion cell has a spiral construction that involves multiple layers. However, these layers are assumed as a uniform material in the lumped model. The lumped model in COMSOL Multiphysics couples the heat transfer and lumped battery interfaces so it allows predicting the surface temperature of the cell during discharging processes. The experimental results point out that the operating temperature inversely affects the internal resistance and the heat generation within the cell during a discharging process. Furthermore, it is found that the capacity of the cell significantly decreases at low operating temperatures. Finally, the predicted temperature profile follows the same trend with the experimental data and is consistent at each operating condition.Keywords:
Multiphysics
Internal resistance
Heat Generation
Internal resistance
Identification
Cite
Citations (0)
The operating temperature has a significant impact on the performance of electrochemical systems such as batteries. The amount of energy stored inside depends largely on the temperature (especially under 0°C). To maintain a good energy performance of the electric vehicle, it is necessary to know the parameters that characterize the battery to allow a better approximation of the amount of remaining energy in the battery. This document presents an approximated battery model and shows the effect of the low temperature on the parameters of the battery. The objective of this document is to show a simple method to identify the internal resistance and the specific heat of the battery by measuring the open circuit voltage through time, this will allow to know how to manage the energy of the battery that is required to perform the cold start of an electric vehicle.
Internal resistance
Internal heating
Cite
Citations (7)
Thermal effect occurred in the application of battery not only effects the performance and life of battery,but also brings a hidden danger to the battery.The physical parameters of battery directly influence the thermal effect.The internal resistance of cylindrical LiMn2O4 battery was measured under different temperatures,the heat transfer model was built based on the temperature rising characteristics caused by internal resistance of cylindrical li-ion battery,and the physical parameters were analyzed.The results show that the internal resistance has a significant impact on the battery temperature rising under the decided conditions.The battery temperature rising has a larger calculation error at a constant resistance.
Internal resistance
Internal heating
Cite
Citations (0)
This paper describes a mismatch of internal resistance battery LiFePO 4 when assembling into battery pack. Internal resistance battery is a number that states the value of resistance that exist within the battery component, it will affect the State of Health, State of Charge, life time, until the heat generated by the battery. The tools used in this experiment include the internal resistance tester EQ-MSK-BK300, battery analyzer BST8-3, and the results are observed in real time on software TC5.3. The experimental results showed that there are differences produced by some of the battery pack that has a different internal resistance.
Internal resistance
Battery pack
Internal heating
Cite
Citations (1)
A battery model is constructed to predict the behavior of a real battery under various operating conditions. This is done by considering the basic variable of the battery such as its operating temperature, discharging or charging current, battery cycle number and battery life time to simulate the output of the battery terminal. The main focus is to introduce the internal resistance as a function of temperature to the model. The simulation result is compared to the result from experimental, in term of the terminal voltage. The simulation result is then presented alongside the experimental result for manifesting that the model is effective and operational.
Internal resistance
Charge cycle
Cite
Citations (0)
Internal resistance measurement of a lead-acid battery is discussed. A criterion based on the battery model discharge equation is used to determine the value of internal resistance. The mathematical model chosen to represent the electrochemical battery and the methods of calculating the internal resistance of a battery is shown. A simulation study is used to demonstrate the feasibility of this measure resistance.
Internal resistance
Cite
Citations (4)
In the article we propose the new method of increasing the accuracy of the estimation of internal resistance and estimation of the residual capacitance of battery, taking into account the duality of the regime of battery. The estimation of the internal resistance of battery is widespread, but without research of the influence of the regime of battery. The duality of battery assumes a change in the activity of electrochemical active masses, which is examined in this work. In the article examined method of evaluating of residual capacitance of battery according to the value of internal resistance realized without presence of known model of battery. The method of determining of residual capacitance and internal resistance into one express test for the unknown battery without the extraction of the system is considered. Analysis of dependence, obtained in a research, leads the estimation of the internal resistance of battery to the point of testing. This makes it possible to reveal the connection of the point of testing with the residual capacitance.
Internal resistance
Cite
Citations (2)
Accurately predicting the lifetime of lithium-ion batteries in the early stage is critical for faster battery production, tuning the production line, and predictive maintenance of energy storage systems and battery-powered devices. Diverse usage patterns, variability in the devices housing the batteries, and diversity in their operating conditions pose significant challenges for this task. The contributions of this paper are three-fold. First, a public dataset is used to characterize the behavior of battery internal resistance. Internal resistance has non-linear dynamics as the battery ages, making it an excellent candidate for reliable battery health prediction during early cycles. Second, using these findings, battery health prediction models for different operating conditions are developed. The best models are more than 95% accurate in predicting battery health using the internal resistance dynamics of 100 cycles at room temperature. Thirdly, instantaneous voltage drops due to multiple pulse discharge loads are shown to be capable of characterizing battery heterogeneity in as few as five cycles. The results pave the way toward improved battery models and better efficiency within the production and use of lithium-ion batteries.
Internal resistance
State of health
Charge cycle
Cite
Citations (44)
Abstract Currently, the use of batteries as energy storage applications in various fields initiates many researchers to maximize the battery performance. One of the most important things to prevent a battery from over-charging or discharging issue is an accurate State-of-Charge ( SoC ) estimation of the battery. In this paper, real time monitoring SoC battery for the remote applications is proposed by calculating the battery’s internal resistance when charging or discharging. When charging process, the battery’s internal resistance ( r ic ) is low and will increase according with increasing the level of SoC . While at the discharging process, the battery’s internal resistance ( r ids ) is low and will increase in proportional to the decreasing of the SoC level. The calculation of r ids and r ich are conducted by measuring open circuit voltage, load voltage, load current, and charging current using a voltage divider mechanism on the Arduino Uno and current sensors, respectively. LORA RA-02 SX 1278 433 MHz is used to transmit the battery parameters from the remote area (transmitter) to the server (receiver). Then the SoC will be estimated based on internal resistance calculation using these parameters on the server. With a simple structure, the proposed systems can be applied to the future remote real time monitoring battery systems.
Internal resistance
State of charge
Arduino
Cite
Citations (8)
A novel method to monitor dynamically the internal pressure of sealed battery with no damage of the battery by using of resistance strain measurement technique is presented. This technique employs the resistence strain gauges in touch of the battery case and to detect the minimal change in the battery deformation due to the increasing internal pressure, electrode expantion or intrenal temperature rise. Application of the technique for the study of the effects of the battery processing factors on the battery performance is described taking Ni MH battery as example.
Internal resistance
Strain gauge
Strain (injury)
Internal pressure
Cite
Citations (0)