AI-Controlled Human-Powered Vehicle Device Adaptation
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Solution Overview
Problem
Existing human-powered vehicle control devices lack adaptability to individual user preferences and environmental conditions, leading to suboptimal performance and usability.
Innovation Solution
A human-powered vehicle control device equipped with an artificial intelligence processor and communication device that generates and adjusts control information for electric components based on user and environmental data, allowing for real-time optimization through communication with external devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed control conditions are used in human-powered vehicle control devices, then device complexity is reduced, but adaptability to individual user preferences and environmental conditions deteriorates
Solution Approach 1:
The system performs preliminary learning of user preferences and environmental conditions before actual control operations. The artificial intelligence processor accumulates operation data and environmental data in advance, then generates optimized control parameters beforehand, enabling the vehicle to adapt to users without real-time complex processing during operation.
Solution Approach 2:
The system creates a digital model or copy of user preferences and environmental characteristics through data collection and analysis. This copied information is stored and reused to generate control parameters, eliminating the need for complex real-time sensing and decision-making while maintaining high adaptability.
2Speed
If real-time data processing is performed locally, then response speed is improved, but energy consumption increases
Solution Approach 1:
The system extracts and separates complex computational tasks from the vehicle's onboard processor. Data processing and control parameter generation are performed externally using more powerful computing resources, while the vehicle only receives pre-computed control instructions, significantly reducing onboard energy consumption while maintaining fast response through pre-computation.
Solution Approach 2:
An external computing system acts as an intermediary between data collection and control execution. This mediator performs the energy-intensive processing tasks off-board, then transmits results to the vehicle, allowing the vehicle to respond quickly without consuming excessive energy for computation.
3Measurement precision
If comprehensive sensors and processors are added to improve control accuracy, then measurement precision improves, but device complexity and cost increase
Solution Approach 1:
The system uses multi-functional sensors and processors that serve multiple purposes. Existing vehicle sensors are utilized for both their primary functions and for collecting data needed for AI-based control optimization, eliminating the need for additional specialized sensors and reducing overall system complexity while maintaining high measurement precision.
Data Source
AI summary
A human-powered vehicle control device includes an artificial intelligence processor, an operation device, and a communication device. The artificial intelligence processor is configured to generate second information for controlling an electric component of a human-powered vehicle 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 operation device operates the electric component. The communication device is configured to communicate with an external device. The artificial intelligence processor is configured to change a process for generating the second information in accordance with the first information and an operation of the operation device. The communication device is configured to transmit third information related to a process for generating the second information to the external device.