Hysteresis Modeling in Li-Ion Batteries

Baronti, Federico; Femia, N.; Saletti, Roberto; Visone, C.; Zamboni, Walter

doi:10.1109/tmag.2014.2323426

Cited by 32 publications

(28 citation statements)

References 16 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These observations are consistent with prior investigations of Li x PO 4 . [47][48][49] While the agreement between the model and the average of the oxidation and reduction ocp's is good, working with the iron phosphate ocp's presents challenges, as can be seen in analyzing Figure 10. Although the ordinate has been expanded relative to Figure 9, it is still difficult to discern the difference between the model (black line) and experimental data (green symbols), and the model-experiment agreement may be viewed as quantitative as defined previously.…”

Section: Discussion Of Resultsmentioning

confidence: 97%

Thermodynamic Model for Substitutional Materials: Application to Lithiated Graphite, Spinel Manganese Oxide, Iron Phosphate, and Layered Nickel-Manganese-Cobalt Oxide

Baker

Koch²,

Xiao

et al. 2017

J. Electrochem. Soc.

View full text Add to dashboard Cite

We derive and implement a method to describe the thermodynamics of electrode materials based on a substitutional lattice model. To assess the utility and generality of the method, we compare model results with experimental data for a variety of electrode materials: lithiated graphite and layered nickel-manganese-cobalt oxide (Chevrolet Bolt Electric Vehicle negative and positive electrode materials, respectively), manganese oxide (in the positive electrodes of the Gen 1 and Gen 2 Chevrolet Volt Extended Range Electric Vehicle and the positive electrode of many high-power-density batteries), and iron phosphate (Gen 1 Chevrolet Spark Electric Vehicle positive electrode material and of immediate interest for 12 and 48 V applications). An early version of the model has been applied to lithiated silicon (Li-Si). As was found in the Li-Si study, the model enables one to quantitatively represent experimental data from these different electrode materials with a small number of parameters, and, in this sense, the approach is both general and efficient. An open question is the utility of controlled-potential vs. controlled-current experiments for the elucidation of the system thermodynamics. We provide commentary on this question, and we highlight other open questions throughout this work. Central to the modeling of electrochemical systems, particularly batteries relying on solid-state diffusion within the active materials, is an accurate description of the system thermodynamics.1-4 We describe and implement a thermodynamic model for substitutional electrode materials. At the heart of the model is a simple expression for the open-circuit potential U in terms of the fraction of filled sites x within a host material. To assess the value of the model, we apply it to four electrode materials of commercial interest today: lithiated graphite, spinel manganese oxide, iron phosphate, and nickel-manganese-cobalt oxide. The model is an expanded version of that described in Ref. 12. A slight alteration is needed to describe the nickel-manganese-cobalt oxide so that inaccessible lithium can be considered (giving rise to x 0 in Table I), and we also describe how reactions between sites within the electrode material can be addressed.This document is organized as follows. First, we provide an overview of the materials and instrumentation for the experimental characterization of the electrode materials. An introduction of the thermodynamic model is then presented, followed by a detailed description of the model. A discussion of results is then presented, followed by a brief Appendix devoted to the convergence properties of the series summation employed in the U(x) model. • C under about 0.01 Torr vacuum. Other materials were dried at 100 Experimental• C under vacuum of about 0.01 Torr. Cell assembly and cycling were performed under an inert argon atmosphere with O 2 and H 2 O concentrations < 1 ppm. Cycling was performed with a Princeton Applied Research PMC 2000 potentiostat/galvanostat. For the voltammetry work on the Ni 0.6 Mn 0.2 Co ...

show abstract

Section: Discussion Of Resultsmentioning

confidence: 97%

Thermodynamic Model for Substitutional Materials: Application to Lithiated Graphite, Spinel Manganese Oxide, Iron Phosphate, and Layered Nickel-Manganese-Cobalt Oxide

Baker

Koch²,

Xiao

et al. 2017

J. Electrochem. Soc.

View full text Add to dashboard Cite

show abstract

“…Thus, PCTs with a 10 min rest time can provide a good approximation of the SoC-OCV relationship. This fact is particularly attractive for long characterisation of the battery involving several minor loops, such as the so-called first-order reversal (FOR) branches, used to identify hysteresis operators [12].…”

Section: Discussionmentioning

confidence: 99%

“…An exhaustive OCV characterisation of batteries showing hysteresis requires the measurement of several branches within the major loop in order to accurately reconstruct any OCV evolution corresponding to the full history of the SoC [12]. This results in a very time consuming procedure.…”

Section: Introductionmentioning

confidence: 99%

Open-circuit voltage measurement of Lithium-Iron-Phosphate batteries

Baronti

Zamboni

Roncella

et al. 2015

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

View full text Add to dashboard Cite

The hysteresis in the state-of-charge (SoC) vs. open-circuit voltage characteristic of a lithium-iron-phosphate (LiFePO4, LFP) battery is modelled with two approaches. The first one is based on a first-order charge relaxation equation, the second one is the Preisach model implemented with the Everett function. The advantages and drawbacks of the methods are discussed. Simulation results are compared for a 20 A h LFP cell, stimulated with various SoC evolutions, allowing us to draw minor loops in the SoC-OCV plane. The results are also compared to experimental data

show abstract

“…To shorten the measurement time, [30] gives the test cell a short relaxation time and finds the average EMF-SOC curve from both of the charge-relaxation and discharge-relaxation test results. This method speeds up the test time, but the effect of EMF hysteresis [31,32] will lead to some errors.…”

Section: Linear Extrapolation For Emf Extractionmentioning

confidence: 99%

A Lithium-Ion Battery Simulator Based on a Diffusion and Switching Overpotential Hybrid Model for Dynamic Discharging Behavior and Runtime Predictions

et al. 2016

View full text Add to dashboard Cite

Abstract:A new battery simulator based on a hybrid model is proposed in this paper for dynamic discharging behavior and runtime predictions in existing electronic simulation environments, e.g., PSIM, so it can help power circuit designers to develop and optimize their battery-powered electronic systems. The hybrid battery model combines a diffusion model and a switching overpotential model, which automatically switches overpotential resistance mode or overpotential voltage mode to accurately describe the voltage difference between battery electro-motive force (EMF) and terminal voltage. Therefore, this simulator can simply run in an electronic simulation software with less computational efforts and estimate battery performances by further considering nonlinear capacity effects. A linear extrapolation technique is adopted for extracting model parameters from constant current discharging tests, so the EMF hysteresis problem is avoided. For model validation, experiments and simulations in MATLAB and PSIM environments are conducted with six different profiles, including constant loads, an interrupted load, increasing and decreasing loads and a varying load. The results confirm the usefulness and accuracy of the proposed simulator. The behavior and runtime prediction errors can be as low as 3.1% and 1.2%, respectively.

show abstract

Hysteresis Modeling in Li-Ion Batteries

Cited by 32 publications

References 16 publications

Thermodynamic Model for Substitutional Materials: Application to Lithiated Graphite, Spinel Manganese Oxide, Iron Phosphate, and Layered Nickel-Manganese-Cobalt Oxide

Thermodynamic Model for Substitutional Materials: Application to Lithiated Graphite, Spinel Manganese Oxide, Iron Phosphate, and Layered Nickel-Manganese-Cobalt Oxide

Open-circuit voltage measurement of Lithium-Iron-Phosphate batteries

A Lithium-Ion Battery Simulator Based on a Diffusion and Switching Overpotential Hybrid Model for Dynamic Discharging Behavior and Runtime Predictions

Contact Info

Product

Resources

About