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Model Order Reduction Techniques for Physics-Based Lithium-Ion Battery Management: A Survey

To unlock the promise of electrified transportation and smart grids, emerging advanced battery management systems (BMSs) will play an important role in the health-aware monitoring, diagnosis, and control of lithium-ion (Li-ion) batteries (see “Acronyms Used in This Article”). Sophisticated physics-based battery models incorporated into BMSs can offer valuable internal battery information to achieve improved operational safety, reliability, and efficiency and to extend the battery lifetimes. However, because they are developed from fundamental electrochemical and thermodynamic principles, rigorous physics-based models are saddled with exceedingly high cognitive and computational complexity for practical applications.

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Informasi Detail

Judul Seri

IEEE INDUSTRIAL ELECTRONICS; Vol.16 No.3 September 2022

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 36-51

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

THERMODYNAMICS
ELECTRIC VEHICLES
MATHEMATICAL MODEL
ELECTROLYTES
COMPUTATIONAL MODELING
SMART GRIDS
BATTERY MANAGEMENT SYSTEMS
ELECTRODES
LITHIUM-ION BATTERIES
INTEGRATED CIRCUIT MODELING

Info Detail Spesifik

DOI: 10.1109/MIE.2021.3100318

Pernyataan Tanggungjawab

Yang Li, Dulmini Karunathilake, D. Mahinda Vilathgamuwa, Yateendra Mishra, Troy W. Farrell, San Shing Choi, Changfu Zou

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