Estimation Equivalent Circuit Battery
Resistor-capacitor (RC) circuit battery that determines combined voltage using lookup tables
Libraries:
Powertrain Blockset /
Energy Storage and Auxiliary Drive /
Network Battery
Description
The Estimation Equivalent Circuit Battery block implements a resistor-capacitor (RC) circuit battery model that determines the combined voltage of a network battery using parameter lookup tables. The tables are functions of the state-of-charge (SOC). Consider using the block for estimating battery voltage and SOC, not in system-level models.
To acquire the SOC, the block integrates the charge and discharge currents. The block implements these values as lookup tables that are functions of the SOC:
Series resistance, Ro=ƒ(SOC)
Battery open-circuit voltage, Em=ƒ(SOC)
Network resistance, Rn=ƒ(SOC)
Network capacitance, Cn=ƒ(SOC)
To calculate the combined voltage of the battery network, the block uses these equations.
Positive current indicates battery discharge. Negative current indicates battery charge.
The equations use these variables.
SOC | State-of-charge |
Em | Battery open-circuit voltage |
Ibatt | Per module battery current |
Iin | Combined current flowing from the battery network |
Ro | Series resistance |
n | Number of RC pairs in series |
Vout, VT | Combined voltage of the battery network |
Vn | Voltage for |
Rn | Resistance for |
Cn | Capacitance for |
Cbatt | Battery capacity |
Examples
Ports
Inputs
Output
Parameters
References
[1] Ahmed, Ryan, et al. "Model-Based Parameter Identification of Healthy and Aged Li-ion Batteries for Electric Vehicle Applications." SAE International Journal of Alternative Powertrains. 4, no. 2 (2015): 233 -47. https://doi.org/10.4271/2015-01-0252.
[2] Gazzarri, Javier, Nishant Shrivastava, Robyn Jackey, and Craig Borghesani. "Battery Pack Modeling, Simulation, and Deployment on a Multicore Real Time Target." SAE International Journal of Aerospace. 7, no. 2 (2014): 207–13. https://doi.org/10.4271/2014-01-2217.
[3] Huria, Tarun, Massimo Ceraolo, Javier Gazzarri, and Robyn Jackey. “High Fidelity Electrical Model with Thermal Dependence for Characterization and Simulation of High Power Lithium Battery Cells.” IEEE® International Electric Vehicle Conference, March 2012. https://doi.org/10.1109/ievc.2012.6183271.
[4] Huria, Tarun, Massimo Ceraolo, Javier Gazzarri, and Robyn Jackey. "Simplified Extended Kalman Filter Observer for SOC Estimation of Commercial Power-Oriented LFP Lithium Battery Cells." SAE Technical Paper Series, 2013. https://doi.org/10.4271/2013-01-1544.
[5] Jackey, Robyn A. "A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection." SAE Technical Paper Series, 2007. https://doi.org/10.4271/2007-01-0778.
[6] Jackey, Robyn A., Gregory L. Plett, and Martin J. Klein. "Parameterization of a Battery Simulation Model Using Numerical Optimization Methods." SAE Technical Paper Series, 2009. https://doi.org/10.4271/2009-01-1381.
[7] Jackey,Robyn, et al. "Battery Model Parameter Estimation Using a Layered Technique: An Example Using a Lithium Iron Phosphate Cell." SAE Technical Paper Series, 2013. https://doi.org/10.4271/2013-01-1547.
[8] Geng, Zeyang, Jens Groot, and Torbjorn Thiringer. “A Time- and Cost-Effective Method for Entropic Coefficient Determination of a Large Commercial Battery Cell.” IEEE Transactions on Transportation Electrification 6, no. 1 (March 2020): 257–66. https://doi.org/10.1109/TTE.2020.2971454.
Extended Capabilities
Version History
Introduced in R2017a