Grey-box modelling of lithium-ion batteries using neural ordinary differential equations

Grey-box modelling of lithium-ion batteries using neural ordinary differential equations

Abstract Grey-box modelling combines physical and data-driven models to benefit from their respective advantages. Neural ordinary differential equations (NODEs) offer new possibilities for grey-box modelling, as differential equations given by physical laws and neural networks can be combined in a s...

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Bibliographic Details
Main Authors: Jennifer Brucker, Wolfgang G. Bessler, Rainer Gasper
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Energy Informatics
Subjects:
Neural ordinary differential equations
Dynamic systems
External variables
Grey-box model
Equivalent circuit model
Lithium-ion batteries
Online Access:https://doi.org/10.1186/s42162-021-00170-8

Internet

https://doi.org/10.1186/s42162-021-00170-8

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