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This paper uses various studies and my own personal study from my summer internship with Ford Motor Company to determine the biggest consumer fears, challenging them and how automotive companies can combat them. In my opinion, the biggest consumer fears for electric vehicles are range anxiety, lack of a charging network, high initial purchase prices, battery replacement costs and lack of appealing options. Consumers who are not interested in EVs, are interested or just looking have fears that can come from opinions or others opinions. These fears can easily change through factual points.
I have included numerous studies that combat these fears and show the truth of each category. In each category I have used studies that point out reasons why these fears are nothing to worry about. Consumers need to learn these fears can be easily changed and that is what this section aims to do.
Automotive companies will have to play a large part in this educational piece. My paper outlines what they need to do in order to succeed in the future. A major part will be dealer engagement. Dealerships represent the face of the company and if they are unwilling or cannot sell EVs, then electric vehicles will not succeed.
Finally, I provide my personal thoughts on the future of the electric vehicle market and what is holding high adoption rates of EVs back.
This project revolves around the enhancement of an existing data collection device utilized for patient monitoring within the framework of the leadership of Shad Roundy's team. The initial deployment involved a 10-Axis Internal Measurement Unit (IMU) sourced from MetaMotionS (MMS) for comprehensive data acquisition from patients at University of Utah’s Downtown Behavioral Health Clinic (BHC). The primary objective transitioned towards optimizing the device's functionality, particularly addressing challenges related to limited battery life, device size, and data transfer efficiency. A systematic approach was undertaken to address these challenges, involving meticulous research into alternative batteries, with the CL 582728 identified as a promising solution capable of extending the device's operational lifespan to around one month. Additionally, the initiative aimed at refining data collection processes through real-time transmission facilitated by Raspberry Pi devices at BHC via Bluetooth, leveraging the energy-efficient Nordic Semiconductor nRF52840 Bluetooth chip. The project also entailed intricate circuit design endeavors utilizing Autodesk Eagle, with reference to a model provided by MMS. Despite encountering programming challenges for the microcontroller, the groundwork was laid for a conceptual solution, with plans to delegate the programming task to a team member possessing advanced expertise. Though the device has yet to be fabricated, the design is near completion.