Simple Spec-Based Modeling of Lithium-Ion Batteries

Lithium-ion battery models that estimate their energy content after a series of charge and discharge operations are essential in the optimal design, analysis, and operation of battery-based systems. We focus on the class of battery models that can be calibrated entirely from the batteries manufacturer-provided specifications (spec). Such models are simple to calibrate and are therefore widely used in practice. The best-known model in this category was proposed by Tremblay et al. in 2007. This model, however, has several shortcomings, including low fidelity at high C-rates, and the fact that it does not model the battery management system. We propose an alternative, called the Power-based Integrated model that is also completely spec-based, yet has much higher fidelity. We perform two types of validation, the first one uses the voltage profiles in the spec while the other is based on laboratory experiments. Both validations confirm that our model, which we have publicly released as a Simulink system block, has a mean absolute voltage error of less than 0.1 V across a wide range of C-rates.

[1]  A. Eddahech,et al.  Neural networks based model and voltage control for lithium polymer batteries , 2011, 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives.

[2]  F Bonanno,et al.  Recurrent Neural Network-Based Modeling and Simulation of Lead-Acid Batteries Charge–Discharge , 2011, IEEE Transactions on Energy Conversion.

[3]  Min Chen,et al.  Accurate electrical battery model capable of predicting runtime and I-V performance , 2006, IEEE Transactions on Energy Conversion.

[4]  John McPhee,et al.  A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation , 2014 .

[5]  Xiaoyong Yang,et al.  An improved model based on artificial neural networks and Thevenin model for nickel metal hydride power battery , 2010, 2010 International Conference on Optics, Photonics and Energy Engineering (OPEE).

[6]  Joeri Van Mierlo,et al.  Peukert Revisited—Critical Appraisal and Need for Modification for Lithium-Ion Batteries , 2013 .

[7]  Catherine Rosenberg,et al.  Li-ion storage models for energy system optimization: the accuracy-tractability tradeoff , 2016, e-Energy.

[8]  D. Niebur,et al.  Simulink Model for Hybrid Power System Test-bed , 2007, 2007 IEEE Electric Ship Technologies Symposium.

[9]  N. R. N. Idris,et al.  Modeling of lithium-ion battery using MATLAB/simulink , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[10]  T. Kim,et al.  A Hybrid Battery Model Capable of Capturing Dynamic Circuit Characteristics and Nonlinear Capacity Effects , 2011, IEEE Transactions on Energy Conversion.

[11]  M. Ceraolo,et al.  High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells , 2012, 2012 IEEE International Electric Vehicle Conference.

[12]  Alan Millner,et al.  Modeling Lithium Ion battery degradation in electric vehicles , 2010, 2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply.

[13]  Jae-Ha Jang,et al.  Equivalent Circuit Evaluation Method of Lithium Polymer Battery Using Bode Plot and Numerical Analysis , 2011, IEEE Transactions on Energy Conversion.

[14]  Olivier Tremblay,et al.  Experimental validation of a battery dynamic model for EV applications , 2009 .

[15]  Massimo Ceraolo,et al.  Battery Model Parameter Estimation Using a Layered Technique: An Example Using a Lithium Iron Phosphate Cell , 2013 .

[16]  P. Novák,et al.  Memory effect in a lithium-ion battery. , 2013, Nature materials.

[17]  Mukesh Singh,et al.  Mathematical Modeling of Li-Ion Battery Using Genetic Algorithm Approach for V2G Applications , 2014, IEEE Transactions on Energy Conversion.

[18]  L.-A. Dessaint,et al.  A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[19]  Teemu Lehmuspelto,et al.  Time-Domain Parameter Extraction Method for Thévenin-Equivalent Circuit Battery Models , 2014, IEEE Transactions on Energy Conversion.