Real-Time Estimation of 2-D Temperature Distribution in Lithium-Ion Pouch Cells

Sattarzadeh, Sara; Roy, Tanushree; Dey, Satadru

doi:10.1109/tte.2021.3071950

Cited by 28 publications

(11 citation statements)

References 46 publications

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“…Temperature distribution in cylindrical cells can be reasonably captured by one-dimensional distributed parameter model that accounts for distribution along radial direction while assuming uniform distribution along the cell height [8]. On the other hand, notable variation in temperature has been observed along the length and breadth of large format pouch and prismatic cells which leads to two dimensional distributed parameter models [9][10][11][12]. Such variation makes the fault detection and localization in this two dimensional space a non-trivial issue.…”

Section: Motivation and Challengesmentioning

confidence: 99%

“…evolution of temperature at the discretized nodes. More details on PDE to ODE conversion can be found in [12]. Subsequently, we can re-write this set of ODEs as the following state-space model:…”

Section: Control-oriented Linear Thermal Model and Problem Statementmentioning

confidence: 99%

“…The constraint (11) captures the isolability condition [34]. The constraint (12) ensures that the elements of C matrix are 1 or 0. The constraint (15) enables the use of original fault distribution matrix M o to create the new fault distribution matrix E. Effectively, each column in E is created by adding several columns of M o .…”

Section: Sensor Placement For Fault Detection and Isolationmentioning

confidence: 99%

“…In this section, we illustrate the proposed framework via simulation and experimental studies. For this study, we adopt the pouch cell modelled and identified in [12] using Arbin BT-2000 system. The cell dimension is 60 × 162 mm 2 , rated capacity is 10 Ah, and voltage range is 4.2-2.75 V .…”

Section: Case Study On a Commercial Cellmentioning

confidence: 99%

“…The cell schematic is shown in Fig. 2 where the yellow circles represent the locations where temperature sensors are installed for model identification [12]. Some of the main identified parameters are:…”

Section: Case Study On a Commercial Cellmentioning

confidence: 99%

See 4 more Smart Citations

Thermal Fault Detection and Localization Framework for Large Format Batteries

Sattarzadeh,

Roy,

Dey

2021

Preprint

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Safety against thermal failures is crucial in battery systems. Real-time thermal diagnostics can be a key enabler of such safer batteries. Thermal fault diagnostics in large format pouch or prismatic cells pose additional challenges compared to cylindrical cells. These challenges arise from the fact that the temperature distribution in large format cells is at least two-dimensional in nature (along length and breadth) while such distribution can be reasonably approximated in one dimension (along radial direction) in cylindrical cells. This difference makes the placement of temperature sensor(s) non-trivial and the design of detection algorithm challenging. In this work, we address these issues by proposing a framework that (i) optimizes the sensor locations to improve detectability and isolability of thermal faults, and (ii) designs a filtering scheme for fault detection and localization based on a two dimensional thermal model. The proposed framework is illustrated by experimental and simulation studies on a commercial battery cell.

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Section: Motivation and Challengesmentioning

confidence: 99%

Section: Control-oriented Linear Thermal Model and Problem Statementmentioning

confidence: 99%

Section: Sensor Placement For Fault Detection and Isolationmentioning

confidence: 99%

Section: Case Study On a Commercial Cellmentioning

confidence: 99%

Section: Case Study On a Commercial Cellmentioning

confidence: 99%

See 3 more Smart Citations

Thermal Fault Detection and Localization Framework for Large Format Batteries

Sattarzadeh,

Roy,

Dey

2021

Preprint

Self Cite

View full text Add to dashboard Cite

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Interval observer design for unobservable switched nonlinear partial differential equation systems and its application

Song,

Peng,

Song

et al. 2024

Intl J Robust & Nonlinear

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SummaryThis paper designs an interval observer for switched nonlinear partial differential equation (PDE) systems. Initially, persistent dwell‐time switching rules are used to model switched PDE systems with fast and slow switching phenomena. Next, for unobservable systems caused by uncertainties, the interval observer for the target PDE systems is proposed by utilizing unknown but bounded information of the initial states, boundary conditions, external disturbances, and measurement noises. Subsequently, by utilizing the estimated state's upper and lower bounds, an interval observer‐based control strategy is devised to stabilize the studied systems, and sufficient conditions to ensure the stability of the target systems and the observation error dynamics are provided. Furthermore, the designed interval observer is employed to detect sensor failures in the presence of various uncertainties. Finally, two examples, including the lithium‐ion battery's temperature estimation and fault detection, are utilized to demonstrate the effectiveness of the obtained methods.

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