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Found 15 papers, 1 papers with code
COBRAPRO: A MATLAB toolbox for Physics-based Battery Modeling and Co-simulation Parameter Optimization
COBRAPRO is a new open-source physics-based battery modeling software with the capability to conduct closed-loop parameter optimization using experimental data.
Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimation
The reuse of retired electric vehicle (EV) batteries in electric grid energy storage emerges as a promising strategy to address environmental concerns and boost economic value.
EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of electric vehicle charging infrastructure
In this work, we present EV-EcoSim, a co-simulation platform that couples electric vehicle charging, battery systems, solar photovoltaic systems, grid transformers, control strategies, and power distribution systems, to perform cost quantification and analyze the impacts of electric vehicle charging on the grid.
Online Adaptive Data-driven State-of-health Estimation for Second-life Batteries with BIBO Stability Guarantees
This method relies exclusively on operational data that can be accessed in real-time from SL batteries.
Combining physics-based and machine learning methods to accelerate innovation in sustainable transportation and beyond: a control perspective
Lithium-ion batteries are playing a key role in the sustainable energy transition.
Core-shell enhanced single particle model for lithium iron phosphate batteries: model formulation and analysis of numerical solutions
In this paper, a core-shell enhanced single particle model for iron-phosphate battery cells is formulated, implemented, and verified.
Effect of State of Charge Uncertainty on Battery Energy Storage Systems
Battery energy storage systems (BESSs) provide many benefits to the electricity grid, including stability, backup power, and flexibility in introducing more clean energy sources.
Core-shell enhanced single particle model for LiFePO$_4$ batteries
In this paper, a novel electrochemical model for LiFePO$_4$ battery cells that accounts for the positive particle lithium intercalation and deintercalation dynamics is proposed.
Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy
This paper formulates and solves a multi-objective fast charging-minimum degradation optimal control problem (OCP) for a lithium-ion battery module made of series-connected cells equipped with an active balancing circuitry.
Evaluating feasibility of batteries for second-life applications using machine learning
This paper presents a combination of machine learning techniques to enable prompt evaluation of retired electric vehicle batteries as to either retain those batteries for a second-life application and extend their operation beyond the original and first intent or send them to recycle facilities.
Sensitivity analysis of a mean-value exergy-based internal combustion engine model
Such an analysis allows to assess how driving conditions and environment affect the exergetic behavior of the engine, providing insights on the system's inefficiency.
Mean-value exergy modeling of internal combustion engines: characterization of feasible operating regions
In this paper, a novel mean-value exergy-based modeling framework for internal combustion engines is developed.
Exergy-based modeling framework for hybrid and electric ground vehicles
To show the capabilities of the proposed model in quantifying, locating, and ranking the sources of exergy losses, two case studies based on an electric vehicle and a parallel hybrid electric vehicle are analyzed considering a real-world driving cycle.
Modeling Degradation for Second-life Battery: Preliminary Results
This paper presents a novel battery modeling framework based on the enhanced single particle model (ESPM) to account for degradation mechanisms of second-life batteries.
On-line Capacity Estimation for Lithium-ion Battery Cells via an Electrochemical Model-based Adaptive Interconnected Observer
A temperature-dependent electrochemical model, the Enhanced Single Particle Model (ESPM), forms the basis for the synthesis of an adaptive interconnected observer that exploits the relationship between capacity and power fade, due to the growth of Solid Electrolyte Interphase layer (SEI), to enable combined estimation of states (lithium concentration in both electrodes and cell capacity) and aging-sensitive transport parameters (anode diffusion coefficient and SEI layer ionic conductivity).
