AI Processor for Electric Vehicle Control Adaptability
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Solution Overview
Problem
Existing electronic devices for human-powered vehicles lack adaptability to individual user preferences and environmental conditions, leading to suboptimal control and usability.
Innovation Solution
An electronic device equipped with an artificial intelligence processor that generates and adjusts control information for electric components such as drive units, adjustable seatposts, and suspensions based on data from detectors within and outside the vehicle, including rider biometrics and environmental factors, allowing for dynamic control states and user-operated adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predetermined control conditions are used, then device complexity is reduced, but adaptability to user preferences and environmental conditions deteriorates
Solution Approach 1:
The artificial intelligence processor automatically generates and optimizes control information without requiring manual user programming. The system learns from detection unit data and autonomously adjusts control parameters, making the complex adaptation process happen automatically rather than requiring complex user configuration interfaces
Solution Approach 2:
The system continuously receives feedback from detection units monitoring vehicle state, rider state, and environment, then the AI processor uses this feedback to dynamically adjust control information. This closed-loop feedback mechanism enables adaptability while keeping the interface simple
2Ease of operation
If fixed control processes are used, then ease of operation is improved, but usability for different users and conditions deteriorates
Solution Approach 1:
The control process transitions from static predetermined conditions to dynamic AI-generated control information that adapts in real-time. The system maintains ease of operation by automating the adaptation, so users don't need to manually adjust settings while still benefiting from personalized control for different conditions
3Adaptability or versatility
If manual adjustment of control parameters is required, then adaptability to user preferences is improved, but ease of operation deteriorates
Solution Approach 1:
The artificial intelligence processor performs the adjustment work automatically by generating optimized control information based on detection unit data. Users simply operate the vehicle normally while the system self-adjusts control parameters, eliminating the need for manual adjustment while maintaining adaptability to user preferences through automated learning
Data Source
AI summary
An electronic device includes an artificial intelligence processor that is configured to generate second information for controlling an electric component including at least one of a drive unit that applies propulsion force to a human-powered vehicle, an electric adjustable seatpost, and an electric suspension in accordance with first information related to at least one of the human-powered vehicle, a rider of the human-powered vehicle, and an environment of the human-powered vehicle. The artificial intelligence processor changes a process for generating the second information in accordance with the first information and in accordance with an operation of a first operation unit for operating the at least one of the drive unit, the electric adjustable seatpost, and the electric suspension.