Publications

Results 1–25 of 38

Search results

Jump to search filters

Electrical Energy Storage Data Submission Guidelines, Version 3

Clark, Waylon T.; Preger, Yuliya; Trevizan, Rodrigo D.; De Angelis, Valerio; Rosewater, David; Willard, Steve; Cooper, Caleb; Ip, Peggy; Thompson, Joe; Srinivasan, Lakshmi; Smith, Morgan

The knowledge of long-term health and reliability of energy storage systems is still unknown, yet these systems are proliferating and are expected increasingly to assist in the maintenance of grid reliability. Understanding long-term reliability and performance characteristics to the degree of knowledge similar to that of traditional utility assets requires operational data. This guideline is intended to inform numerous stakeholders on what data are needed for given functions, how to prescribe access to those data and the considerations impacting data architecture design, as well as provide these stakeholders insight into the data and data systems necessary to ensure storage can meet growing expectations in a safe and cost-efficient manner. Understanding data needs, the systems required, relevant standards, and user needs early in a project conception aids greatly in ensuring that a project ultimately performs to expectations.

More Details

Efficient Reformulation of Linear and Nonlinear Solid-Phase Diffusion in Lithium-ion Battery Models using Symmetric Polynomials: Mass Conservation and Computational Efficiency

Journal of the Electrochemical Society

Thiagarajan, Raghav S.; Subramaniam, Akshay; Kolluri, Suryanarayana; Garrick, Taylor R.; Preger, Yuliya; De Angelis, Valerio; Lim, Jin H.; Subramanian, Venkat R.

Lithium-ion batteries are typically modeled using porous electrode theory coupled with various transport and reaction mechanisms, along with suitable discretization or approximations for the solid-phase diffusion equation. The solid-phase diffusion equation represents the main computational burden for typical pseudo-2-dimensional (p2D) models since these equations in the pseudo r-dimension must be solved at each point in the computational grid. This substantially increases the complexity of the model as well as the computational time. Traditional approaches towards simplifying solid-phase diffusion possess certain significant limitations, especially in modeling emerging electrode materials which involve phase changes and variable diffusivities. A computationally efficient representation for solid-phase diffusion is discussed in this paper based on symmetric polynomials using Orthogonal Collocation and Galerkin formulation (weak form). A systematic approach is provided to increase the accuracy of the approximation (p form in finite element methods) to enable efficient simulation with a minimal number of semi-discretized equations, ensuring mass conservation even for non-linear diffusion problems involving variable diffusivities. These methods are then demonstrated by incorporation into the full p2D model, illustrating their advantages in simulating high C-rates and short-time dynamic operation of Lithium-ion batteries.

More Details

System Integration for Grid-scale Hybrid Battery Technologies

Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Dutta, Oindrilla; Mueller, Jacob A.; Wauneka, Robert; De Angelis, Valerio

In this work, a modular and open-source platform has been developed for integrating hybrid battery energy storage systems that are intended for grid applications. Alongside integration, this platform will facilitate testing and optimal operation of hybrid storage technologies. Here, a hardware testbed and a control software have been designed, where the former comprises commercial Lithium-iron-phosphate (LiFePO4) and Lead Acid (Pb - acid) cells, custom built Dual Active Bridge (DAB) DC-DC converters, and a commercial DC-AC conversion system. In this testbed the batteries have an operating voltage range of 11-15V, the DC-AC conversion stage has a DC link voltage of 24V, and it connects to a 208V3-φ grid. The hardware testbed can be scaled up to higher voltages. The control software is developed in Python, and the firmware for all the hardware components is developed in C. This software implements hybrid charge/discharge protocols that are suitable for each battery technology for preventing cell degradation, and perform uninter-rupted quality checks on selected battery packs. The developed platform provides flexibility, modularity, safety and economic benefits to utility-scale storage integration.

More Details
Results 1–25 of 38
Results 1–25 of 38
Top