Geo-Fenced Ride Control for Multi-Region LEV Compliance
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Solution Overview
Problem
The diverging regulatory frameworks for light electric vehicles (LEVs) across different geographical regions create confusion for riders and impede manufacturers' ability to sell products nationally or globally, necessitating a solution that allows a single vehicle to adapt its performance based on location-specific rules.
Innovation Solution
A geo-fenced ride control system that utilizes a battery-centric approach, incorporating GPS, machine learning, and remote server updates to automatically adjust vehicle performance settings based on geographical location, time of day, and user history to comply with local regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single vehicle design is used across different geographical regions, then manufacturing complexity is reduced, but compliance with varying local regulations becomes difficult
Solution Approach 1:
The vehicle incorporates a geo-fenced ride control system that dynamically adjusts ride settings based on GPS location data. The system automatically modifies vehicle parameters such as speed limits and operational modes according to the geographical zone detected, enabling a single vehicle design to comply with varying local regulations without requiring multiple manufacturing variants.
Solution Approach 2:
The patent implements a system that changes operational parameters (speed limits, power output, ride modes) based on geographical location. The processor receives location data and automatically adjusts vehicle parameters to match local regulatory requirements, allowing one vehicle design to adapt to different regulatory environments through software-controlled parameter modification rather than hardware changes.
2Reliability
If ride settings are manually adjusted for each location, then regulatory compliance can be achieved, but rider convenience and ease of operation decrease
Solution Approach 1:
The geo-fenced ride control system operates autonomously by automatically detecting the vehicle's geographical location through GPS and adjusting ride settings without rider intervention. The processor continuously monitors location data and autonomously modifies operational parameters to ensure compliance with local regulations, eliminating the need for riders to manually adjust settings while maintaining reliable regulatory compliance.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the processor continuously receives GPS location data, compares it against stored geographical zone information, and automatically adjusts ride settings in real-time. This feedback-driven approach ensures the vehicle consistently operates within regulatory limits for the current location without requiring manual input from the rider.
3Reliability
If multiple vehicle configurations are produced for different regions, then local regulatory compliance is ensured, but manufacturing complexity and inventory management increase
Solution Approach 1:
The patent implements a universal vehicle platform with a multi-functional geo-fenced ride control system that can operate in multiple regulatory environments. Instead of producing different vehicle configurations for different regions, the system uses a single processor-based controller that adapts to various geographical zones through software, enabling one vehicle design to serve multiple regulatory markets without requiring physical reconfiguration or multiple inventory variants.
Data Source
AI summary
A vehicle with a Geo-Fenced Ride Control System including: one or more battery modules including one or more battery cells; one or more processors operably connected to the one or more battery cells to control vehicle performance; and a Global Positioning System (GPS) or cellular network receiver configured to determine location of the vehicle; wherein the one or more processors communicates with a remote sever to determine a plurality of available vehicle performance settings for the vehicle based on the location of the vehicle. The vehicle further includes a user input interface configured to receive user input including selection of the vehicle performance setting form the plurality of available vehicle performance settings based on the geographic location of the vehicle.