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Proximity Entrance System requirements specifications

Date created
2022-12-06
Authors/Contributors
Author: ECHO
Abstract
Today's motorcycle industry is accelerating quickly towards the switch to electric motorcycles, and a particular system seemingly tied to the electric vehicle is the keyless entry system. Electric vehicle boot times can be lengthy processes which require the start up and synchronization of dozens of onboard electronic control units (ECUs) which can harm the user experience of what is expected to be a premium product. Additionally, current keyless entry systems are prone to security vulnerabilities.

To solve this problem, Echo has developed the Proximity Entrance System™ (PES) to provide the ultimate user-friendly experience for motorcyclists who want to sit down and start riding. This means as little interaction as possible - the PES™ anticipates the user's intent to have their ride ready at any moment. These actions are done securely so that any unauthorized users cannot gain access.

The PES™ consists of two components: the Proximity Detection Module (PDM), which is mounted on the vehicle, and a Remote Identifier (RID), which is a keyfob held by the user. As the user approaches the bike, the PDM and RID communicate using modern ultra-wideband (UWB) technology to pinpoint the location of the user. If the user is on a trajectory towards the bike, then the PDM issues a "wake-up" signal, similar to an unlock, that additionally notifies the bike to initialize any onboard systems it may need to drive, eliminating these wait times.
Document
Description
Engineering Science undergraduates are required to complete a group-based, two-course capstone sequence: ENSC 405W and ENSC 440. Groups form company structures and create an innovative product that potentially acts as a solution to a real-life problem.This collection archives the following assignments: proposal, design specifications, requirements specifications, and final presentation
Extent
1 item
Copyright statement
Copyright is held by the author(s).
Scholarly level
Language
English
Download file Size
ECHO_ReqSpecs-2022.pdf 1.17 MB

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