Project

# Title Team Members TA Documents Sponsor
18 Wireless Fast Charging Autonomous Car
Yiquan Jin
Yizhi Li
Ziyue Guo
Zongyang Zhu
 design_document1.pdf
final_paper3.pdf
proposal1.pdf
 Chushan Li
# Problem

An autonomous car with wireless fast charging capability (Pin≥100W) is proposed. The car can automatically detect the place of wireless charging station and drive to the station with fast speed.

# Solution Overview

- An autonomous car with energy storage and fast speed

- The wireless charging power Pin ≥ 100W

- Car can automatically align to the charging coils

- Car can detect the place of wireless charging station.

- Obstacles can be avoided during the driving

- Car can fully utilize its mechanical structure and shock absorption system to work on various road condition

# Solution Components

## Hardware Components:

- Autonomous Driving Car Prototype: Developed a prototype of an autonomous driving car capable of autonomous navigation and driving functions, including sensors, control units, actuators, and designed the car's exterior and shock absorption structure.

- Wireless Charging System: Designed and implemented a wireless charging system capable of delivering over 100W of power, including hardware devices for the charger and car receiver end.

- Positioning and Navigation Equipment: Integrated high-precision positioning and navigation equipment to enable the car to navigate and plan routes in complex environments.

## Software Components:

- Autonomous Driving Software: Developed a comprehensive autonomous driving software system, including environment perception, path planning, control algorithms, etc., capable of achieving safe and stable autonomous driving functions.

- Charging Alignment Algorithm: Implemented precise charging alignment algorithms, capable of accurately identifying the position of charging stations and automatically aligning the car with the charging coils, ensuring charging efficiency and safety.

- Obstacle Detection and Avoidance Algorithms: Developed efficient obstacle detection and avoidance algorithms, capable of timely identifying obstacles on the road and taking appropriate measures to avoid collisions.

- Charging Station Position Detection Software: Implemented charging station position detection software, capable of accurately identifying the position of charging stations and planning the optimal route to reach the charging station.

# Criterion for Success

Our ultimate goal is to develop an autonomous vehicle with energy storage and high-speed capabilities, equipped with wireless fast charging (Pin ≥ 100W). It should automatically align with charging coils, detect the location of wireless charging stations, navigate around obstacles during driving, and fully utilize its mechanical structure and shock absorption system to adapt to various road conditions.

Wireless IntraNetwork

Featured Project

There is a drastic lack of networking infrastructure in unstable or remote areas, where businesses don’t think they can reliably recoup the large initial cost of construction. Our goal is to bring the internet to these areas. We will use a network of extremely affordable (<$20, made possible by IoT technology) solar-powered nodes that communicate via Wi-Fi with one another and personal devices, donated through organizations such as OLPC, creating an intranet. Each node covers an area approximately 600-800ft in every direction with 4MB/s access and 16GB of cached data, saving valuable bandwidth. Internal communication applications will be provided, minimizing expensive and slow global internet connections. Several solutions exist, but all have failed due to costs of over $200/node or the lack of networking capability.

To connect to the internet at large, a more powerful “server” may be added. This server hooks into the network like other nodes, but contains a cellular connection to connect to the global internet. Any device on the network will be able to access the web via the server’s connection, effectively spreading the cost of a single cellular data plan (which is too expensive for individuals in rural areas). The server also contains a continually-updated several-terabyte cache of educational data and programs, such as Wikipedia and Project Gutenberg. This data gives students and educators high-speed access to resources. Working in harmony, these two components foster economic growth and education, while significantly reducing the costs of adding future infrastructure.