Notice bibliographique
Résumé
Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Main Menu Session XXXX Instrumentation of a PEM Fuel Cell Vehicle Bruce Sun, Wallace Turner, Micheal Parten Tim Maxwell Electrical and Computer Engineering Mechanical Engineering Texas Tech University I. Introduction Electric vehicles have long held the promise of zero emission vehicles. However, battery powered electric vehicles have not been accepted by the general public, in large part, because of their very limited range. A hydrogen-based, fuel cell could provide the power necessary to give an electric vehicle the same range as a modern gasoline powered vehicle. In this case, a fuel cell is a device that converts hydrogen into electricity by a simple oxidation reaction. The products of the electrochemical process are electricity, heat and water. In a fuel cell powered vehicle, an equivalent series hybrid power train provides the driving power to the wheels. Both the battery pack and the PEM fuel cell system supply power to the motor and motor controller. Since the output electrical power of the fuel cell stack is designed to exceed the average power demands of the vehicle, the batteries can be charged while driving. The range of the vehicle is then tied to the amount of hydrogen or fuel that is on board. A fuel cell powered vehicle consists of the integration of many complex nonlinear systems. The power train, generally, contains a proton exchange membrane (PEM) fuel cell stack with its accessories, a DC/DC converter, battery pack, motors and motor controllers. A PEM fuel cell stack is, itself, a complex electrochemical system.1- 4 Over the past several years, Texas Tech University’s Advanced Vehicle Engineering Laboratory (AVEL) has converted five conventional vehicles to HEVs and alternative fueled vehicles for the various Vehicle Challenges sponsored by the U.S. Department of Energy (DOE), the three major U.S. automobile manufacturers, the Society of Automotive Engineers and Natural Resources Canada.5-9 Of particular interest today is the popularity of full sized sport utility vehicles (SUV). These vehicles are reversing the trends, over the last few years, of reduced emissions and improved fuel economy. In line with these problems, recent work at AVEL has included the conversion of a 2000 model General Motors Suburban to a fuel cell powered vehicle. The development of the vehicle is a multidisciplinary project with students from mechanical engineering, electrical engineering and computer science involved. The majority of the team members are enrolled in a two-semester senior design sequence. However, some graduate students and volunteers also participated in the program. Faculty advisors from both electrical and mechanical engineering provide guidance for the team. The fuel cell’s performance is directly related to a large number of factors, which must be monitored and controlled. In this application, a modular LabVIEW Virtual Instrument is used to Main Menu
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».