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Computational Modeling Of Graphene Oxide Exfoliation And Lithium Storage Characteristics, Reza Mortezaee
Computational Modeling Of Graphene Oxide Exfoliation And Lithium Storage Characteristics, Reza Mortezaee
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Graphene oxide is a two dimensional material obtained by adsorption of oxygen or oxygen-containing groups on graphene. Stacked layers of graphene oxide constitute graphite oxide. These materials have various applications such as a source material for graphene production, transport support for electron microscopy, flexible organic photovoltaic cells and use in Li-ion batteries. Generation of exfoliated graphene oxide from a graphite oxide precursor is achieved relatively easily in solution as compared to graphene exfoliation. In this study we investigate the details of the graphene oxide exfoliation procedure in solution by calculating the Gibb's free energies and reaction rates. We consider two …
Real-Time Fault Diagnosis Of Automotive Electrical Power Generation And Storage System, Luis Farfan-Ramos
Real-Time Fault Diagnosis Of Automotive Electrical Power Generation And Storage System, Luis Farfan-Ramos
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Automobiles depend more and more on electric power. Analysis of warranty data by automotive OEMs shows that faults in the automotive electrical power generation and storage (EPGS) system are often misdiagnosed. Therefore, monitoring of the state of health (SOH) of the automotive EPGS system is vital for early and correct diagnosis of faults in it, ensuring a reliable supply of electric power to the vehicle and reducing maintenance costs. In this research project, a model-based SOH monitoring method for the EPGS system is developed without the requirement of an alternator current sensor. A model representing the dynamic relationship between the …
Automotive Battery State-Of-Health Monitoring Methods, Ryan J. Grube
Automotive Battery State-Of-Health Monitoring Methods, Ryan J. Grube
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Effective vehicular power management requires accurate knowledge of battery state, including state-of-charge (SOC) and state-of-health (SOH). An essential functionality of automotive batteries is delivering high power in short periods to crank the engine. A well-known approach to battery SOH monitoring is to infer battery state-of-health from battery impedance or resistance, which is not robust to variation of battery types. The research and development of more reliable battery state-of-health monitoring methods to ensure vehicle start-up ability are presented in this thesis. The methods include a battery cranking voltage based method, a parity-relation based method using battery voltage and cranking current signals, …