Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries

2018 IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2018.8619340 ◽

2018 ◽

Author(s):

Andrea Pozzi ◽

Gabriele Ciaramella ◽

Krishnakumar Gopalakrishnan ◽

Stefan Volkwein ◽

Davide M. Raimondo

Keyword(s):

Parameter Estimation ◽

Optimal Design ◽

Design Of Experiment ◽

Single Particle ◽

Particle Model ◽

Single Particle Model

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Bayesian Parameter Estimation Applied to the Li-ion Battery Single Particle Model with Electrolyte Dynamics

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1770 ◽

2020 ◽

Vol 53 (2) ◽

pp. 12497-12504

Author(s):

Antti Aitio ◽

Scott G. Marquis ◽

Pedro Ascencio ◽

David Howey

Keyword(s):

Parameter Estimation ◽

Single Particle ◽

Particle Model ◽

Li Ion Battery ◽

Bayesian Parameter Estimation ◽

Li Ion ◽

Single Particle Model

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Optimal Design of Experiments for a Lithium-Ion Cell: Parameters Identification of an Isothermal Single Particle Model with Electrolyte Dynamics

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.8b04580 ◽

2018 ◽

Vol 58 (3) ◽

pp. 1286-1299 ◽

Cited By ~ 12

Author(s):

Andrea Pozzi ◽

Gabriele Ciaramella ◽

Stefan Volkwein ◽

Davide M. Raimondo

Keyword(s):

Optimal Design ◽

Design Of Experiments ◽

Single Particle ◽

Lithium Ion ◽

Parameters Identification ◽

Particle Model ◽

Optimal Design Of Experiments ◽

Cell Parameters ◽

Lithium Ion Cell ◽

Single Particle Model

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Matlab simulation of lithium ion cell using electrochemical single particle model

2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC) ◽

10.1109/spec.2016.7846195 ◽

2016 ◽

Cited By ~ 3

Author(s):

Ngoc Tham Tran ◽

Mahinda Vilathgamuwa ◽

Troy Farrell ◽

San Shing Choi

Keyword(s):

Single Particle ◽

Lithium Ion ◽

Particle Model ◽

Matlab Simulation ◽

Lithium Ion Cell ◽

Single Particle Model

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Adaptability of Li-Ion Single Particle Model for Lifetime Simulation Using LFP and LMO Cells

2018 IEEE Conference on Control Technology and Applications (CCTA) ◽

10.1109/ccta.2018.8511388 ◽

2018 ◽

Cited By ~ 1

Author(s):

Sabrina K. Rechkemmer ◽

Benjamin Czech ◽

Xiaoyun Zang ◽

Weimin Zhang ◽

Oliver Sawodny

Keyword(s):

Single Particle ◽

Particle Model ◽

Li Ion ◽

Single Particle Model

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Optimal Charging Of Li-Ion Batteries Based On An Electrolyte Enhanced Single Particle Model

Progress in Canadian Mechanical Engineering ◽

10.25071/10315/35325 ◽

2018 ◽

Cited By ~ 1

Author(s):

Xianke Lin ◽

Xiaoguang Hao ◽

Zhenyu Liu ◽

Weiqiang Jia

Keyword(s):

Single Particle ◽

Particle Model ◽

Li Ion Batteries ◽

Li Ion ◽

Single Particle Model

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Empirical Li-ion aging model derived from single particle model

Journal of Energy Storage ◽

10.1016/j.est.2019.01.005 ◽

2019 ◽

Vol 21 ◽

pp. 773-786 ◽

Cited By ~ 10

Author(s):

Sabrina Kathrin Rechkemmer ◽

Xiaoyun Zang ◽

Weimin Zhang ◽

Oliver Sawodny

Keyword(s):

Single Particle ◽

Particle Model ◽

Aging Model ◽

Li Ion ◽

Single Particle Model

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Study of high-spin states in nuclei within the framework of a single-particle model

Il Nuovo Cimento A ◽

10.1007/bf02773366 ◽

1981 ◽

Vol 64 (1) ◽

pp. 54-64

Author(s):

H. R. Dalafi

Keyword(s):

High Spin ◽

Single Particle ◽

Particle Model ◽

Spin States ◽

High Spin States ◽

Single Particle Model

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A single-particle model momentum distribution for4He

Journal of Physics G Nuclear and Particle Physics ◽

10.1088/0954-3899/15/9/009 ◽

1989 ◽

Vol 15 (9) ◽

pp. 1397-1403 ◽

Cited By ~ 10

Author(s):

M Grypeos ◽

K Ypsilantis

Keyword(s):

Momentum Distribution ◽

Single Particle ◽

Particle Model ◽

Single Particle Model

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A Simple Parametrization for the Concentration Variance Dissipation in a Lagrangian Single-Particle Model

Boundary-Layer Meteorology ◽

10.1007/s10546-016-0218-x ◽

2016 ◽

Vol 163 (1) ◽

pp. 91-101 ◽

Cited By ~ 8

Author(s):

Enrico Ferrero ◽

Luca Mortarini ◽

Federico Purghè

Keyword(s):

Single Particle ◽

Particle Model ◽

Concentration Variance ◽

Single Particle Model

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An advanced single-particle model for C3S hydration - validating the statistical independence of model parameters

Computers and Concrete ◽

10.12989/cac.2015.15.6.989 ◽

2015 ◽

Vol 15 (6) ◽

pp. 989-999 ◽

Cited By ~ 2

Author(s):

Joseph J. Biernacki ◽

Manohar Gottapu

Keyword(s):

Single Particle ◽

Particle Model ◽

Model Parameters ◽

Statistical Independence ◽

Single Particle Model

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