Design and analysis of capacity models for Lithium-ion battery
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{GARG:2018:Measurement,
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author = "Akhil Garg and Xiongbin Peng and My Loan Phung Le and
Kapil Pareek and C. M. M. Chin",
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title = "Design and analysis of capacity models for Lithium-ion
battery",
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journal = "Measurement",
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volume = "120",
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pages = "114--120",
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year = "2018",
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keywords = "genetic algorithms, genetic programming, Battery
modelling, Electric vehicle, Genetic programming (GP),
Complexity, Battery capacity, Temperature, SRM",
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ISSN = "0263-2241",
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DOI = "doi:10.1016/j.measurement.2018.02.003",
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URL = "http://www.sciencedirect.com/science/article/pii/S0263224118300897",
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abstract = "Past studies on battery models is focussed on
formulation of physics-based models, empirical models
and fusion models derived from the battery pack data of
electric vehicle. It is desirable to have an explicit,
robust and accurate models for battery states
estimation in-order to ensure its proper reliability
and safety. The present work conducts a brief survey on
battery models and will propose the evolutionary
approach of Genetic programming (GP) for the battery
capacity estimation. The experimental design for GP
simulation comprises of the inputs such as the battery
temperature and the rate of discharge. Further, the
seven objective functions in GP approach is designed by
introducing the complexity based on the order of
polynomial. This step will ensure the precise functions
evaluation in GP and drives the evolutionary search
towards its optimum solutions. The design and analysis
of the GP based battery capacity models involves the
statistical validation of the seven objective functions
based on error metrics with 2-D and 3-D surface plots.
The results conclude that the GP models using
Structural risk minimization (SRM) objective function
accurately estimate the battery capacity based on the
variations of the inputs. 2-D and 3-D surface analysis
of the GP model reveals the increasing-decreasing
nature of temperature-battery capacity curve with
temperature the dominant input. The battery capacity
model obtained using SRM as an objective function in GP
is robust and thus can be integrated in the electric
vehicle system for monitoring its performance and
ensure its safety",
- }
Genetic Programming entries for
Akhil Garg
Xiongbin Peng
My Loan Phung Le
Kapil Pareek
C M M Chin
Citations