Thermal Modeling of Lithium-Ion Energy Storage Systems for Hybrid Electric Vehicles Using Computational Fluid Dynamics with Conjugate Heat Transfer

The success and performance of a Hybrid Electric Vehicle (HEV) relies largely on its Energy Storage System (ESS). High temperatures and thermal variations can significantly affect a battery\u27s performance and lifecycle. An effective thermal management system is vital to the health and safe operation of the ESS\u27s batteries. A well designed thermal management system begins with the accurate prediction of the battery\u27s thermal conditions. In hot climates, HEVs may be required to operate within ten degrees Celsius of the maximum safe operating temperature of their batteries. This study aims to evaluate the thermal management system of a lithium-ion based energy storage system designed for HEV applications. The analysis uses estimated current values from powertrain simulation software, fundamental heat transfer principles, finite element analysis (FEA), and computational fluid dynamics (CFD) tools to predict the temperature distributions in battery modules

Come hell or high water : a framing analysis of local newspaper coverage of Hurricane Katrina

Hurricane Katrina made landfall on August 29, 2005 in what would become one of the most deadly and destructive natural disasters in United States history. Throughout the storm and in the immediate aftermath, the New Orleans Times-Picayune continued to report through the use of online publications until physical printing could resume. A content analysis was conducted to examine the coverage of community resilience in the news articles published in the first six months after Hurricane Katrina. Results indicate that the domains of community resilience were part of local newspaper coverage of Hurricane Katrina. Results also show the significance of political leaders and government response in a post-disaster environment

Cognitive behavioral therapy for the management of multiple sclerosis–related pain: a randomized clinical trial

BACKGROUND: Pain is a common and often debilitating symptom among persons with multiple sclerosis (PwMS). Besides interfering with daily functioning, pain in MS is associated with higher levels of depression and anxiety. While cognitive-behavioral therapy (CBT) for pain has been found to be an effective treatment in other populations, there has been a dearth of research in PwMS. METHODS: PwMS with at least moderate pain severity (N = 20) were randomly assigned to one of two groups: CBT plus standard care (CBT/SC) or MS-related education plus standard care (ED/SC), each of which met for 12 sessions. Changes in pain severity, pain interference, and depressive symptom severity from baseline to the 15 week follow-up were assessed using a 2×2 factorial design. Participants also rated their satisfaction with their treatment and accomplishment of personally meaningful behavioral goals. RESULTS: Both treatment groups rated their treatment satisfaction as very high and their behavioral goals as largely met, although only the CBT/SC group's mean goal accomplishment ratings represented significant improvement. While there were no significant differences between groups post-treatment on the three primary outcomes, there was an overall improvement over time for pain severity, pain interference, and depressive symptom severity. CONCLUSIONS: CBT or education-based programs may be helpful adjunctive treatments for PwMS experiencing pain.Accepted manuscrip

ES2008-54271 Simulation, Analysis and Systems Engineering of a Hybrid-Electric Race Car

ABSTRACT For the past two years, Embry-Riddle has participated in the SAE Formula Hybrid competition. As part of the competition, a team of students analyze, design, and build a fully functional hybrid-electric race car. As an academic competition, the event is designed to allow a wide variety of system configurations and fuel choices. In order to optimize the vehicle characteristics, simulate vehicle performance, and build control laws, the design team created a Simulink model of the race car. As a recently created design competition, the SAE Formula Hybrid event offers an opportunity for both design innovation and system engineering. To develop a concept for the competition, the ERAU team developed detailed simulations of the vehicle in Simulink. Since the competition allows a variety of energy storage devices, engines, fuels, driveline configurations, and control systems, the development of a system dynamics model was not straight-forward. Further, system components for this project are constrained by some rules and practical constraints. The vehicle configuration was selected to be a parallel hybrid using a 250cc gasoline engine and 7.2kW DC motor with 1500F ultra-capacitor energy storage, with an unusual control strategy. The results of the Simulink model were used to predict how this vehicle configuration compares to other design choices including alternative fuels, energy storage devices and control strategies. The performance of the actual vehicle at the 2008 SAE Formula Hybrid competition, which occurs May 2008, will be presented at the conference

QuickGO: a user tutorial for the web-based Gene Ontology browser

The Gene Ontology (GO) has proven to be a valuable resource for functional annotation of gene products. At well over 27 000 terms, the descriptiveness of GO has increased rapidly in line with the biological data it represents. Therefore, it is vital to be able to easily and quickly mine the functional information that has been made available through these GO terms being associated with gene products. QuickGO is a fast, web-based tool for browsing the GO and all associated GO annotations provided by the GOA group. After undergoing a redevelopment, QuickGO is now able to offer many more features beyond simple browsing. Users have responded well to the new tool and given very positive feedback about its usefulness. This tutorial will demonstrate how some of these features could be useful to the researcher wanting to discover more about their dataset, particular areas of biology or to find new ways of directing their research

Designed Metal-ATCUN Derivatives: Redox- and Non-redox-Based Applications Relevant for Chemistry, Biology, and Medicine

UID/QUI/50006/2019The designed "ATCUN'' motif (amino-terminal copper and nickel binding site) is a replica of naturally occurring ATCUN site found in many proteins/peptides, and an attractive platform for multiple applications, which include nucleases, proteases, spectroscopic probes, imaging, and small molecule activation. ATCUN motifs are engineered at periphery by conjugation to recombinant proteins, peptides, fluorophores, or recognition domains through chemically or genetically, fulfilling the needs of various biological relevance and a wide range of practical usages. This chemistry has witnessed significant growth over the last few decades and several interesting ATCUN derivatives have been described. The redox role of the ATCUN moieties is also an important aspect to be considered. The redox potential of designed M-ATCUN derivatives is modulated by judicious choice of amino acid (including stereochemistry, charge, and position) that ultimately leads to the catalytic efficiency. In this context, a wide range of M-ATCUN derivatives have been designed purposefully for various redox- and non-redox-based applications, including spectroscopic probes, target-based catalytic metallodrugs, inhibition of amyloid-beta toxicity, and telomere shortening, enzyme inactivation, biomolecules stitching or modification, next-generation antibiotic, and small molecule activation.publishersversionpublishe

Truck Rear View Mirror Drag Reduction Using Passive Jet Boat Tail Flow Control

This paper conducts numerical simulation and wind tunnel testing to demonstrate the passive flow control jet boat tail (JBT) drag reduction technique for a heavy duty truck rear view mirror. The JBT passive flow control technique is to introduce a flow jet by opening an inlet in the front of a bluff body, accelerate the jet via a converging duct and eject the jet at an angle toward the center of the base surface. The high speed jet flow entrains the free stream flow to energize the base flow, increase the base pressure, reduces the wake size, and thus reduce the drag. A baseline heavy duty truck rear view mirror is used as reference. The mirror is then redesigned to include the JBT feature without violating any of the variable mirror position geometric constraints and internal control system volume requirement. The wind tunnel testing was conducted at various flow speed and yaw angles. The condition selected for CFD (computational fluid dynamics) simulation is at high way speed of 70 miles/h, zero yaw angle and Reynolds number of 4.8x105. The wind tunnel testing measured a drag reduction of 10.1% due to the JBT configuration. The 3D CFD based on RANS model predicts the drag reduction of 11.0%, an excellent agreement. This study confirms that the JBT device is very effective for heavy duty truck mirror drag reduction from both numerical simulation and wind tunnel experiment