A Comparison of Model Order Reduction Techniques for Real-Time Battery Thermal Modelling

McGahan, Paul; Rouaud, Cédric; Booker, Michael L.

doi:10.4271/2019-01-0503

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…The most common representations of battery electrical behaviour are electrochemical models and Equivalent Circuit Models (ECM) (Fan, Pan, Bartlett, Canova, & Rizzoni, 2014;Perez, Shahmohammadhamedani, & Moura, 2015;Guo, Jin, & White, 2017;He, Xiong, & Fan, 2011;Chen & Rincon-Mora, 2006). It is well known that the overall battery pack performance is influenced significantly by the battery temperature (McGahan, Rouaud, & Booker, 2019) which we model using a network of 1D lumped thermal components (Pesaran, 2002;Johnson, Pesaran, & Sack, 2000;Park & Jaura, 2003;Nelson, Dees, Amine, & Henriksen, 2002). Investigation of battery aging mechanisms is currently a hot topic in both academia and industry.…”

Section: Literature Reviewmentioning

confidence: 99%

A Modelica Library for Modelling of Electrified Powertrain Digital Twins

Fotias¹,

Bao²,

Niu³

et al. 2021

Linköping Electronic Conference Proceedings

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In this paper, a Modelica library of electrified powertrain components is presented and its applications discussed. This library is used to construct digital twins of electrified powertrains during product development. These digital twins provide value by reducing development time and cost, while once the product is in-service, they enable improved condition monitoring. The library includes a multi-fidelity and multi-scale battery and power electronics sub-library, an Electrical Drive Unit (EDU) sub-library modelling different types of electrical machines, and an electrified propulsion system sub-library of template models that leverage the battery, power electronics and EDU components found in the other sublibraries. Finally, an example of applying the proposed library to electrified vehicle development is presented.

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Section: Literature Reviewmentioning

confidence: 99%

A Modelica Library for Modelling of Electrified Powertrain Digital Twins

Fotias¹,

Bao²,

Niu³

et al. 2021

Linköping Electronic Conference Proceedings

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“…Such simulations require high-performance hardware and long computing times, often forcing users to analyze simplified case studies [15], [16]. The development of a low computational cost multi-domain model would therefore be beneficial for the investigation of battery thermal performances [17]. Such tool would provide information that would help allow a better thermal management system design optimization, effectively increasing battery life.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale, Electro-Thermal Model of NMC Battery Cell

Morganti

Longo

Tirovic

et al. 2019

IEEE Trans. Veh. Technol.

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Battery models often either fail to deliver a complete picture of the physical phenomena occurring in the cell or fail to minimize computational effort. So far, the demand for a detailed internal thermal model of battery cells with a reasonable computation time has remained unanswered. This paper addresses such question introducing a multi-domain model whose accuracy makes it suitable for thermal management system development, at a lower computational cost than competing models. The approach features an equivalent circuit parameter model with chemistrybased parameters coupled with an internal heat transfer model. The internal heat transfer model includes different sections of the cell, addressing the anisotropy and the temperature-dependence of physical properties. Material properties are partly based on manufacturer's data sheet, partly taken from literature. The development software platform enables a sensible reduction of computational effort with respect to traditional modeling techniques. Results were validated against an aggressive current at different temperatures and against current profiles obtained from two different drive cycles at different ambient temperature. The model proves to be very good in terms of accuracy.

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A Prudent Power Management Algorithm for Energy Storage Systems in Electric Vehicles Using Fuzzy for Synergising

Soni

Rayudu

2022

2022 2nd International Conference on Intelligent Technologies (CONIT)

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A Comparison of Model Order Reduction Techniques for Real-Time Battery Thermal Modelling

Cited by 4 publications

References 16 publications

A Modelica Library for Modelling of Electrified Powertrain Digital Twins

A Modelica Library for Modelling of Electrified Powertrain Digital Twins

Multi-Scale, Electro-Thermal Model of NMC Battery Cell

A Prudent Power Management Algorithm for Energy Storage Systems in Electric Vehicles Using Fuzzy for Synergising

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