Modeling and simulation of lithium-ion batteries from a systems engineering perspective
The lithium-ion battery is an ideal candidate for a wide variety of applications due to its high
energy/power density and operating voltage. Some limitations of existing lithium-ion battery …
energy/power density and operating voltage. Some limitations of existing lithium-ion battery …
Advances and new directions in crystallization control
The academic literature on and industrial practice of control of solution crystallization
processes have seen major advances in the past 15 years that have been enabled by …
processes have seen major advances in the past 15 years that have been enabled by …
Stochastic nonlinear model predictive control with probabilistic constraints
Stochastic uncertainties are ubiquitous in complex dynamical systems and can lead to
undesired variability of system outputs and, therefore, a notable degradation of closed-loop …
undesired variability of system outputs and, therefore, a notable degradation of closed-loop …
Parameter estimation and capacity fade analysis of lithium-ion batteries using reformulated models
V Ramadesigan, K Chen, NA Burns… - Journal of the …, 2011 - iopscience.iop.org
Many researchers have worked to develop methods to analyze and characterize capacity
fade in lithium-ion batteries. As a complement to approaches to mathematically model …
fade in lithium-ion batteries. As a complement to approaches to mathematically model …
Multi-objective optimization based nonlinear model predictive control of seeded cooling crystallization process with application to β form L-glutamic acid
For batch performance optimization of seeded cooling crystallization processes with respect
to multiple production objectives, a multi-objective optimization (MOO) based nonlinear …
to multiple production objectives, a multi-objective optimization (MOO) based nonlinear …
Process Performance and Operational Challenges in Continuous Crystallization: A Study of the Polymorphs of L-Glutamic Acid
The crystallization of the two polymorphs of l-glutamic acid (LGA) is carried out in a
continuous crystallization process, and its performance according to different criteria is …
continuous crystallization process, and its performance according to different criteria is …
A method for handling batch-to-batch parametric drift using moving horizon estimation: application to run-to-run MPC of batch crystallization
In this work, we develop a run-to-run (R2R) model parameter estimation scheme based on
moving horizon estimation (MHE) concepts for the modeling of batch-to-batch process …
moving horizon estimation (MHE) concepts for the modeling of batch-to-batch process …
Quantitative parameter estimation, model selection, and variable selection in battery science
Numerical physics-based models are useful in understanding battery performance and
developing optimal battery design architectures. Data science developments have enabled …
developing optimal battery design architectures. Data science developments have enabled …
Simultaneous measurement of solution concentration and slurry density by Raman spectroscopy with artificial neural network
M Lin, Y Wu, S Rohani - Crystal Growth & Design, 2020 - ACS Publications
In this work, the capability of Raman spectroscopy to measure the solution concentration
and slurry density simultaneously and quantitatively was studied. Paracetamol–ethanol and …
and slurry density simultaneously and quantitatively was studied. Paracetamol–ethanol and …
Application of Laser‐Backscattering Instruments for In Situ Monitoring of Crystallization Processes–A Review
J Heinrich, J Ulrich - Chemical engineering & technology, 2012 - Wiley Online Library
Laser‐backscattering instruments, such as the focused beam reflectance measurement or
threefold dynamical optical reflectance measurement, are promising tools to aid …
threefold dynamical optical reflectance measurement, are promising tools to aid …