Development and experimental parameterization of a physics-based second-order lithium-ion battery model

Donald Docimo; Mohammad Ghanaatpishe; Hosam K. Fathy

doi:10.1115/dscc2014-6270

Development and experimental parameterization of a physics-based second-order lithium-ion battery model

Donald Docimo
, Mohammad Ghanaatpishe
, Hosam K. Fathy

Materials Research Institute (MRI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

25 Scopus citations

Abstract

This paper uses the principles of electrochemistry to derive a simple second-order model of lithium-ion battery dynamics. Low-order lithium-ion battery models exist in the literature, but are typically either linear, empirical, or both. Our goal, in contrast, is to obtain a model simple enough for control design but grounded in the principles of electrochemistry. The model reduction approach used in this paper has the added advantage of leading to a novel analytic expression for the capacitance associated with voltage relaxation. A process for identifying model parameters from experiments is outlined, and experimental results are used to evaluate the validity of the model.

Original language	English (US)
Title of host publication	Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791846186
DOIs	https://doi.org/10.1115/dscc2014-6270
State	Published - 2014
Event	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 - San Antonio, United States Duration: Oct 22 2014 → Oct 24 2014

Publication series

Name	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Volume	1

Other

Other	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Country/Territory	United States
City	San Antonio
Period	10/22/14 → 10/24/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Mechanical Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1115/dscc2014-6270

Cite this

Docimo, D., Ghanaatpishe, M., & Fathy, H. K. (2014). Development and experimental parameterization of a physics-based second-order lithium-ion battery model. In Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 1). American Society of Mechanical Engineers. https://doi.org/10.1115/dscc2014-6270

Docimo, Donald ; Ghanaatpishe, Mohammad ; Fathy, Hosam K. / Development and experimental parameterization of a physics-based second-order lithium-ion battery model. Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. American Society of Mechanical Engineers, 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014).

@inproceedings{ca20ed857f6d4add9024b6c856a12510,

title = "Development and experimental parameterization of a physics-based second-order lithium-ion battery model",

abstract = "This paper uses the principles of electrochemistry to derive a simple second-order model of lithium-ion battery dynamics. Low-order lithium-ion battery models exist in the literature, but are typically either linear, empirical, or both. Our goal, in contrast, is to obtain a model simple enough for control design but grounded in the principles of electrochemistry. The model reduction approach used in this paper has the added advantage of leading to a novel analytic expression for the capacitance associated with voltage relaxation. A process for identifying model parameters from experiments is outlined, and experimental results are used to evaluate the validity of the model.",

author = "Donald Docimo and Mohammad Ghanaatpishe and Fathy, \{Hosam K.\}",

note = "Publisher Copyright: Copyright {\textcopyright} 2014 by ASME.; ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

doi = "10.1115/dscc2014-6270",

language = "English (US)",

series = "ASME 2014 Dynamic Systems and Control Conference, DSCC 2014",

publisher = "American Society of Mechanical Engineers",

booktitle = "Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems",

}

Docimo, D, Ghanaatpishe, M & Fathy, HK 2014, Development and experimental parameterization of a physics-based second-order lithium-ion battery model. in Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, vol. 1, American Society of Mechanical Engineers, ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, San Antonio, United States, 10/22/14. https://doi.org/10.1115/dscc2014-6270

Development and experimental parameterization of a physics-based second-order lithium-ion battery model. / Docimo, Donald; Ghanaatpishe, Mohammad; Fathy, Hosam K.
Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. American Society of Mechanical Engineers, 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Ghanaatpishe, Mohammad

AU - Fathy, Hosam K.

PY - 2014

Y1 - 2014

N2 - This paper uses the principles of electrochemistry to derive a simple second-order model of lithium-ion battery dynamics. Low-order lithium-ion battery models exist in the literature, but are typically either linear, empirical, or both. Our goal, in contrast, is to obtain a model simple enough for control design but grounded in the principles of electrochemistry. The model reduction approach used in this paper has the added advantage of leading to a novel analytic expression for the capacitance associated with voltage relaxation. A process for identifying model parameters from experiments is outlined, and experimental results are used to evaluate the validity of the model.

AB - This paper uses the principles of electrochemistry to derive a simple second-order model of lithium-ion battery dynamics. Low-order lithium-ion battery models exist in the literature, but are typically either linear, empirical, or both. Our goal, in contrast, is to obtain a model simple enough for control design but grounded in the principles of electrochemistry. The model reduction approach used in this paper has the added advantage of leading to a novel analytic expression for the capacitance associated with voltage relaxation. A process for identifying model parameters from experiments is outlined, and experimental results are used to evaluate the validity of the model.

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M3 - Conference contribution

AN - SCOPUS:84929340530

T3 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014

BT - Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems

PB - American Society of Mechanical Engineers

T2 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014

Y2 - 22 October 2014 through 24 October 2014

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Docimo D, Ghanaatpishe M, Fathy HK. Development and experimental parameterization of a physics-based second-order lithium-ion battery model. In Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. American Society of Mechanical Engineers. 2014. (ASME 2014 Dynamic Systems and Control Conference, DSCC 2014). doi: 10.1115/dscc2014-6270

Development and experimental parameterization of a physics-based second-order lithium-ion battery model

Abstract

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UN SDGs

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