Research Portal

State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery

Research output: Contribution to journal › Conference article › peer-review

Standard Standard

State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery. / Mohamed, Mokhtar; Pierce, Iestyn; Dinh, Truong Quang.
In: Energy Reports, Vol. 9, No. 10, 01.10.2023, p. 314-323.

Research output: Contribution to journal › Conference article › peer-review

HarvardHarvard

Mohamed, M, Pierce, I & Dinh, TQ 2023, 'State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery', Energy Reports, vol. 9, no. 10, pp. 314-323. https://doi.org/10.1016/j.egyr.2023.05.086.

APA

Mohamed, M., Pierce, I., & Dinh, T. Q. (2023). State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery. Energy Reports, 9(10), 314-323. https://doi.org/10.1016/j.egyr.2023.05.086.

CBE

Mohamed M, Pierce I, Dinh TQ. 2023. State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery. Energy Reports. 9(10):314-323. https://doi.org/10.1016/j.egyr.2023.05.086.

MLA

Mohamed, Mokhtar, Iestyn Pierce and Truong Quang Dinh. "State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery". Energy Reports. 2023, 9(10). 314-323. https://doi.org/10.1016/j.egyr.2023.05.086.

VancouverVancouver

Mohamed M, Pierce I, Dinh TQ. State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery. Energy Reports. 2023 Oct 1;9(10):314-323. Epub 2023 May 31. doi: 10.1016/j.egyr.2023.05.086.

Author

Mohamed, Mokhtar ; Pierce, Iestyn ; Dinh, Truong Quang. / State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery. In: Energy Reports. 2023 ; Vol. 9, No. 10. pp. 314-323.

RIS

TY - JOUR

T1 - State and fault estimation scheme based on sliding mode observer for a Lithium-ion battery

AU - Mohamed, Mokhtar

AU - Pierce, Iestyn

AU - Dinh, Truong Quang

PY - 2023/10/1

Y1 - 2023/10/1

N2 - In electric vehicles, voltage and temperature sensors installed at the battery cell level or pack level are crucial for providing accurate information so the battery management system (BMS) can perform its functions properly. In this paper, a model-based sensor fault estimation scheme using a sliding mode technique has been proposed. Voltage and temperature models have been developed for a Lithium-ion battery cell. Then, a sliding mode observer has been proposed to estimate the systems’ states as well as sensors fault signals independently and simultaneously. Nissan Leaf Gen4 2018 Lithium-ion cells have been selected to evaluate the performance of the proposed estimation scheme. Simulation results under different test scenarios have confirmed the feasibility and effectiveness of the developed method.

AB - In electric vehicles, voltage and temperature sensors installed at the battery cell level or pack level are crucial for providing accurate information so the battery management system (BMS) can perform its functions properly. In this paper, a model-based sensor fault estimation scheme using a sliding mode technique has been proposed. Voltage and temperature models have been developed for a Lithium-ion battery cell. Then, a sliding mode observer has been proposed to estimate the systems’ states as well as sensors fault signals independently and simultaneously. Nissan Leaf Gen4 2018 Lithium-ion cells have been selected to evaluate the performance of the proposed estimation scheme. Simulation results under different test scenarios have confirmed the feasibility and effectiveness of the developed method.

U2 - 10.1016/j.egyr.2023.05.086.

DO - 10.1016/j.egyr.2023.05.086.

M3 - Conference article

VL - 9

SP - 314

EP - 323

JO - Energy Reports

JF - Energy Reports

SN - 2352-4847

IS - 10

ER -