Real-time Nonlinear Model Predictive Control (NMPC) Strategies using Physics-Based Models for Advanced Lithium-ion Battery Management System (BMS)

Kolluri, Suryanarayana; Aduru, Sai Varun; Pathak, Manan; Braatz, Richard D.; Subramanian, Venkat R.

doi:10.1149/1945-7111/ab7bd7

Cited by 46 publications

(21 citation statements)

References 26 publications

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“…For example, in the time domain, several characteristic tests make it possible to determine all the model parameters. Finally, this type of model is easily integrable into a global model of battery management systems [22,23].…”

Section: Electrical Modeling By Equivalent Electrical Circuitsmentioning

confidence: 99%

An electric circuit model for a lithium-ion battery cell based on automotive drive cycles measurements

Khalfi

Boumaaz

Soulmani

et al. 2021

IJECE

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The on-board energy storage system plays a key role in electric vehicles since it directly affects their performance and autonomy. The lithium-ion battery offers satisfactory characteristics that make electric vehicles competitive with conventional ones. This article focuses on modeling and estimating the parameters of the lithium-ion battery cell when used in different electric vehicle drive cycles and styles. The model consists of an equivalent electrical circuit based on a second-order Thevenin model. To identify the parameters of the model, two algorithms were tested: Trust-Region-Reflective and Levenberg-Marquardt. To account for the dynamic behavior of the battery cell in an electric vehicle, this identification is based on measurement data that represents the actual use of the battery in different conditions and driving styles. Finally, the model is validated by comparing simulation results to measurements using the mean square error (MSE) as model performance criteria for the driving cycles (UDDS, LA-92, US06, neural network (NN), and HWFET). The results demonstrate interesting performance mostly for the driving cycles (UDDS and LA-92). This confirms that the model developed is the best solution to be integrated in a battery management system of an electric vehicle.

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Section: Electrical Modeling By Equivalent Electrical Circuitsmentioning

confidence: 99%

An electric circuit model for a lithium-ion battery cell based on automotive drive cycles measurements

Khalfi

Boumaaz

Soulmani

et al. 2021

IJECE

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“…In this structure, the main function of the positive and negative electrodes is to provide anions and cations. In lithium ion batteries, the capacity of the battery is often determined by the capacity for lithium ion removal and insertion in the negative materials [8,9].…”

Section: Electrolyte Solutionmentioning

confidence: 99%

Analysis of the Thermal Behavior of a Lithium Cell Undergoing Thermal Runaway

Du¹,

Fang²

2021

Fluid Dynamics &Amp; Materials Processing

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This study examines the thermal runaway of a lithium ion battery caused by poor heat dissipation performances. The heat transfer process is analyzed on the basis of standard theoretical concepts. Water mist additives are considered as a tool to suppress the thermal runaway process. The ensuing behaviour of the battery in terms of surface temperature and heat generation is analyzed for different charge and discharge rates. It is found that when the remaining charge is 100%, the heat generation rate of the battery is the lowest, and the surface temperature with a 2C charge rate is higher than that obtained for a 0.5C charge rate. The experimental results show that when the additive concentration is 20% NaCl, its ability to inhibit the thermal runaway is the strongest.

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“…36 Recently, detailed models have been solved in real-time for control and design purposes. 37,38,39,40,41,42,43,44 These works were built on decades of research from multiple teams applying best possible algorithms for discretization in x, t and careful mathematical analysis to reduce the number of states. This progress was facilitated by (1) a detailed model and open-source code published in 1993 by Newman's group 45 , (2) multiple groups attempted to simulate the same model more efficiently by introducing different reformulation and model reduction approaches 46,47 ,48,49,50,51,52,53 , and (3) the battery community applied (1) and (2) for validating model predictions with experimental data for a wide range of applications, chemistries, and form-factors.…”

Section: Battery Management System (Bms) and Real-time Controlmentioning

confidence: 99%

Challenges in Moving to Multiscale Battery Models - Where Electrochemistrymeets and demands more from Math

et al. 2020

Self Cite

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As lithium-metal and lithium-sulfur batteries are receiving great attention being among the most promising candidates for next-generation batteries in transportation applications, there has been significant recent interest in studying their multiscale characteristics. Multiple studies have conveyed the importance of microscale effects, pressure effects, and morphology changes for these batteries, especially for batteries with lithium metal as the anode. Advances in computing power make researchers believe that the detailed multiscale models can be efficiently simulated to arrive at the insights for the degradation and performance loss; however, this is not true and special attention needs to be paid to local singularities, boundary layers, moving boundaries, etc. This work presents 2D examples that illustrate the importance of grid convergence studies, provides well-defined detailed models to test the efficiency of numerical schemes, and discusses the associated simulation challenges. Perspective on important numerical aspects for robustness and efficiency, and recommendations on the possible best practices for studies involving multiscale modeling are also discussed.

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Real-time Nonlinear Model Predictive Control (NMPC) Strategies using Physics-Based Models for Advanced Lithium-ion Battery Management System (BMS)

Cited by 46 publications

References 26 publications

An electric circuit model for a lithium-ion battery cell based on automotive drive cycles measurements

An electric circuit model for a lithium-ion battery cell based on automotive drive cycles measurements

Analysis of the Thermal Behavior of a Lithium Cell Undergoing Thermal Runaway

Challenges in Moving to Multiscale Battery Models - Where Electrochemistrymeets and demands more from Math

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