Time series analysis of high energy density lithium-ion batteries for electric vehicles applications

Hani Mustafataher M Almadni, Babakalli Alkali, Gyorgy Balint Lak, Ray Ansell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The use of lithium-ion secondary batteries in electric vehicles has now become a key component of high-performance energy storage systems. There are various factors that contribute significantly to the reduction in battery performance and subsequent damage of battery cells. The factors associated with battery degradation as a result of the charge and discharge rate is not new and has been investigated widely by many researchers. The maximum amount of electrical charge that a battery can store and deliver normally decreases over time. This capacity fade phenomenon is a result of various degradation mechanisms within the battery. The degradation mechanisms are random in nature and, in this paper, the degradation mechanisms associated with changes in the electrical impedance, capacity and the lifecycle of the battery cells are explored. 18650 battery cells are tested for 23 cycles on a trickle charge and the designated samples from each battery is subjected to different set temperatures, ranging from 20°C to 55°C at a constant time per experiment. Statistical analysis of the data is conducted using a time series approach and a reliability model is proposed in an attempt to predict the degradation or failure and hence improve the battery performance.
Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Condition Monitoring and Asset Management, BINDT 2019
Number of pages13
Publication statusPublished - 27 Jun 2019

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Time series analysis
Electric vehicles
Lithium
Degradation
Acoustic impedance
Secondary batteries
Energy storage
Time series
Statistical methods
Ions
Experiments
Temperature

Cite this

Almadni, H. M. M., Alkali, B., Lak, G. B., & Ansell, R. (2019). Time series analysis of high energy density lithium-ion batteries for electric vehicles applications. In Proceedings of the 16th International Conference on Condition Monitoring and Asset Management, BINDT 2019
Almadni, Hani Mustafataher M ; Alkali, Babakalli ; Lak, Gyorgy Balint ; Ansell, Ray. / Time series analysis of high energy density lithium-ion batteries for electric vehicles applications. Proceedings of the 16th International Conference on Condition Monitoring and Asset Management, BINDT 2019. 2019.
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title = "Time series analysis of high energy density lithium-ion batteries for electric vehicles applications",
abstract = "The use of lithium-ion secondary batteries in electric vehicles has now become a key component of high-performance energy storage systems. There are various factors that contribute significantly to the reduction in battery performance and subsequent damage of battery cells. The factors associated with battery degradation as a result of the charge and discharge rate is not new and has been investigated widely by many researchers. The maximum amount of electrical charge that a battery can store and deliver normally decreases over time. This capacity fade phenomenon is a result of various degradation mechanisms within the battery. The degradation mechanisms are random in nature and, in this paper, the degradation mechanisms associated with changes in the electrical impedance, capacity and the lifecycle of the battery cells are explored. 18650 battery cells are tested for 23 cycles on a trickle charge and the designated samples from each battery is subjected to different set temperatures, ranging from 20°C to 55°C at a constant time per experiment. Statistical analysis of the data is conducted using a time series approach and a reliability model is proposed in an attempt to predict the degradation or failure and hence improve the battery performance.",
author = "Almadni, {Hani Mustafataher M} and Babakalli Alkali and Lak, {Gyorgy Balint} and Ray Ansell",
note = "Event: 25-27 June 2019, Principal Grand Central Hotel, Glasgow, UK. CM-MFPT-0048-2019. R1 Pub date: used last date of conference. Acceptance in SAN Publisher policy unknown - made file open and contacted event contact. ET 16/7/19",
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Almadni, HMM, Alkali, B, Lak, GB & Ansell, R 2019, Time series analysis of high energy density lithium-ion batteries for electric vehicles applications. in Proceedings of the 16th International Conference on Condition Monitoring and Asset Management, BINDT 2019.

Time series analysis of high energy density lithium-ion batteries for electric vehicles applications. / Almadni, Hani Mustafataher M; Alkali, Babakalli; Lak, Gyorgy Balint; Ansell, Ray.

Proceedings of the 16th International Conference on Condition Monitoring and Asset Management, BINDT 2019. 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N1 - Event: 25-27 June 2019, Principal Grand Central Hotel, Glasgow, UK. CM-MFPT-0048-2019. R1 Pub date: used last date of conference. Acceptance in SAN Publisher policy unknown - made file open and contacted event contact. ET 16/7/19

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N2 - The use of lithium-ion secondary batteries in electric vehicles has now become a key component of high-performance energy storage systems. There are various factors that contribute significantly to the reduction in battery performance and subsequent damage of battery cells. The factors associated with battery degradation as a result of the charge and discharge rate is not new and has been investigated widely by many researchers. The maximum amount of electrical charge that a battery can store and deliver normally decreases over time. This capacity fade phenomenon is a result of various degradation mechanisms within the battery. The degradation mechanisms are random in nature and, in this paper, the degradation mechanisms associated with changes in the electrical impedance, capacity and the lifecycle of the battery cells are explored. 18650 battery cells are tested for 23 cycles on a trickle charge and the designated samples from each battery is subjected to different set temperatures, ranging from 20°C to 55°C at a constant time per experiment. Statistical analysis of the data is conducted using a time series approach and a reliability model is proposed in an attempt to predict the degradation or failure and hence improve the battery performance.

AB - The use of lithium-ion secondary batteries in electric vehicles has now become a key component of high-performance energy storage systems. There are various factors that contribute significantly to the reduction in battery performance and subsequent damage of battery cells. The factors associated with battery degradation as a result of the charge and discharge rate is not new and has been investigated widely by many researchers. The maximum amount of electrical charge that a battery can store and deliver normally decreases over time. This capacity fade phenomenon is a result of various degradation mechanisms within the battery. The degradation mechanisms are random in nature and, in this paper, the degradation mechanisms associated with changes in the electrical impedance, capacity and the lifecycle of the battery cells are explored. 18650 battery cells are tested for 23 cycles on a trickle charge and the designated samples from each battery is subjected to different set temperatures, ranging from 20°C to 55°C at a constant time per experiment. Statistical analysis of the data is conducted using a time series approach and a reliability model is proposed in an attempt to predict the degradation or failure and hence improve the battery performance.

M3 - Conference contribution

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Almadni HMM, Alkali B, Lak GB, Ansell R. Time series analysis of high energy density lithium-ion batteries for electric vehicles applications. In Proceedings of the 16th International Conference on Condition Monitoring and Asset Management, BINDT 2019. 2019