Engineering Commons^™

Study And Modelling Of Lithium Ion Cell With Accurate Soc Measurement Algorithm Using Kalman Filter For Electric Vehicles, Kasthuriramanan Mahendravadi Sivaguru

Theses

Lithium Ion cells are preferred over lead acid cells for electric vehicles due to their energy density, higher discharge current and size. The cost of lithium ion cells is scaling down compared to ten years earlier, but as their performance characteristics increase, the need for safety and accurate modelling also increases.

The absence of a generic cell model is associated to the different makes of cells and different chemistries of Lithium ion cells behave differently under the testing conditions required for every unique application. The focus of this thesis will be on how to provide intelligence to the battery management …

Magnetic Field Effects On Lithium Ion Batteries, Kevin Mahon

Theses

The Nobel Prize in Chemistry 2019 was just recently awarded to John B. Goodenough, M. Stanley Whittingham, and Akira Yoshino for the development of lithium-ion batteries. Lithium-ion batteries have seen use in many different industries and applications such as in portable devices, power grids, and electric vehicles. As lithium-ion batteries become more commonplace they will need to be modeled more extensively. The magnetic field effect on lithium-ion batteries has not been studied significantly since they were first discovered.

Modeling these batteries is still difficult because of the many complexities of the operation of a battery. Lithium-ion batteries are commonly modeled …

Blind Source Separation Using Dictionary Learning Over Time-Varying Channels, Anushreya Ghosh

Theses

Distributed sensors observe radio frequency (RF) sources over flat-fading channels. The activity pattern is sparse and intermittent in the sense that while the number of latent sources may be larger than the number of sensors, only a few of them may be active at any particular time instant. It is further assumed that the source activity is modeled by a Hidden Markov Model. In previous work, the Blind Source Separation (BSS) problem solved for stationary channels using Dictionary Learning (DL). This thesis studies the effect of time-varying channels on the performance of DL algorithms. The performance metric is the probability …

Design Of Dual-Band Rf-Dc Rectifier And Dc-Dc Boost Converter For Energy Harvesting Applications, Merghani K. Merghani

Theses

Wireless sensors are used in many industrial and commercial applications. However powering up those sensors is challenging, because batteries have limited lifetime, require periodic maintenance, and their depositions are toxic to the environment. One of the new methods to power up those small sensors is to capture energy from ambient sources and convert it into a steady dc output voltage, which is known as energy harvesting or scavenging. In this thesis, we propose an energy harvesting method by scavenging the electromagnetic (EM), or radio frequency (RF) energy in the ambient and converting it into a steady dc output voltage that …

Reinforcement Learning Reward Design For Low-Level Controllers, Evan J. Olney

Theses

The past few decades have produced many successful applications of machine learning. In the area of automated controls, machine learning controllers have been developed to take advantage of the tendency for computers to stumble upon avenues to solutions people either overlooked, or simply do not have the computational capability to explore. Reinforcement learning is a machine learning technique for learning how to choose actions in an environment to increase its expected reward. The reward is the signal that indicates whether or not proper actions were chosen, therefore a behavioral goal is achieved from implicit rewards rather than explicit direction. The …

Comparison Study Of Supervised Machine Learning Algorithms For Real Time Prediction Of Uav Behaviors, Brian Baity

Theses

An American scientific writer/critic of the mid-20th century, Joseph Wood Krutch, stated, “Technology made large populations possible: large populations now make technology indispensable.” Unmanned aerial vehicles (UAVs) have become a vital part of society, evolving from solely military use to commercial and even personal day-to-day use. UAV application has grown for mobility on demand, increasing the number of UAVs in the sky. Consequently, more UAVs increases the possibility of aerial collisions, challenging the safety of passengers flying and bystanders on the ground. Understanding the behavior of UAVs and unmanned aerial systems (UAS) in general, therefore, will decrease the possibility of …