IC Tag Wireless Failure Diagnosis for Electric Two-Wheeled Vehicles
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Solution Overview
Problem
Conventional failure diagnosis systems for electric two-wheeled vehicles require wired connections and rely on battery power, making immediate and remote diagnosis challenging, especially when the battery is depleted or failed.
Innovation Solution
An information processing system that includes an electric two-wheeled vehicle with an IC tag equipped with non-contact communication capabilities, allowing for power receipt via external electric waves, enabling non-contact communication with an information communication terminal and server for failure diagnosis and information processing, regardless of battery power availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wired connection using USB cable is used for failure diagnosis, then reliable data transmission is achieved, but portability and immediate diagnosis capability deteriorate
Solution Approach 1:
The patent replaces the mechanical wired connection system (USB cable) with a wireless communication system. The management system communicates with the communication adaptor through wireless signals, eliminating the need for physical cable connections while maintaining data transmission capability. This enables the management system to be portable and perform immediate failure diagnosis without being tethered to the bicycle electric equipment system.
2Reliability
If battery power is required for failure diagnosis, then active components can perform diagnosis functions, but diagnosis capability is lost when battery is depleted or failed
Solution Approach 1:
The communication adaptor is designed to harvest power from the power line itself to operate. It receives power through the power line communication infrastructure, eliminating dependency on the battery. This allows the adaptor to remain operational and enable failure diagnosis even when the battery is depleted or failed, as the adaptor self-sustains through the existing power delivery mechanism.
3Loss of time
If communication adaptor is always powered to enable immediate diagnosis, then diagnosis readiness is improved, but power consumption increases
Solution Approach 1:
The communication adaptor implements dynamic power management by entering a low-power sleep mode when no diagnosis operation is active, and automatically waking up when a communication signal is detected. This dynamic state transition allows the system to maintain readiness for immediate diagnosis while minimizing power consumption during idle periods, balancing responsiveness with energy efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables immediate, convenient, and remote failure diagnosis and information processing for electric two-wheeled vehicles, even when the battery is failed or depleted, reducing the need for on-site preparation and maintenance.
Implementation Method 1
the IC tag being configured to receive supply of electric power by causing the non-contact communication unit to receive, via the antenna, an electric wave transmitted from outside of the electric two-wheeled vehicle
Data Source
AI summary
The present disclosure makes it possible to perform a failure diagnosis of an electric two-wheeled vehicle easily, conveniently, and immediately. The electric two-wheeled vehicle includes an electric equipment unit having an IC tag and a host unit. The host unit is capable of communicating with the IC tag, and obtains failure information of the electric equipment unit while electric power is supplied from the battery to the electric equipment unit. The information communication terminal obtains the failure information by communicating with the electric two-wheeled vehicle in a non-contact manner, and transmits the failure information to the server via the network. The server performs a failure diagnosis on the electric two-wheeled vehicle based on the failure information.