Electric Bicycle Cloud Diagnosis via Detection Unit
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Solution Overview
Problem
The increasing popularity of electric vehicles has led to higher costs for vehicle diagnostic and maintenance services, which are typically provided by manufacturers, necessitating a more cost-effective solution for vehicle health monitoring.
Innovation Solution
A cloud diagnosis service system and vehicle detection method for electric bicycles, comprising a server and a vehicle detection unit connected to the electric bicycle's components, which downloads a detection program, provides a detection signal, and generates a report on the state values of the vehicle controller, torque sensor, motor unit, battery unit, and connection wire group, enabling efficient and cost-effective diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle diagnostic services are provided by manufacturers, then service quality is ensured, but service cost increases
Solution Approach 1:
The system enables self-service diagnostics through the vehicle detection unit that autonomously connects to the electric bicycle, downloads detection programs, executes diagnostic routines, and generates reports without requiring manufacturer intervention. This self-diagnostic capability maintains service quality while eliminating the need for expensive manufacturer-provided services.
Solution Approach 2:
A cloud-based server acts as an intermediary between the vehicle detection unit and the comprehensive diagnostic database. The server provides detection programs and processes diagnostic data, enabling cost-effective service delivery while maintaining professional-grade diagnostic quality through centralized expertise and resources.
2Measurement precision
If comprehensive vehicle monitoring is implemented, then diagnostic accuracy is improved, but system complexity increases
Solution Approach 1:
The diagnostic system is segmented into distinct functional modules: the vehicle detection unit for data collection, the cloud server for program management and data processing, and the report generation system. This modular segmentation enables comprehensive monitoring of multiple components (motor unit, battery unit, controller) while managing system complexity through clear separation of responsibilities.
Solution Approach 2:
The vehicle detection unit is designed as a multi-functional device that can detect various components (motor unit, battery unit, controller, connection wire group) and perform multiple operations (downloading programs, executing diagnostics, transmitting data, generating reports). This universality achieves comprehensive diagnostic accuracy without proportionally increasing system complexity.
Data Source
AI summary
A cloud diagnosis service system and a vehicle detection method are provided. The vehicle detection method includes the following steps: providing a vehicle detection unit, in which the vehicle detection unit is configured to be connected to an electric bicycle and a server; providing a vehicle detection signal to the electric bicycle by the vehicle detection unit; providing, according to the vehicle detection signal, a plurality of state values of a vehicle controller, a torque sensor, a motor unit, a battery unit, and a connection wire group to the vehicle detection unit by the vehicle controller of the electric bicycle; and providing, according to the plurality of state values of the vehicle controller, the torque sensor, the motor unit, the battery unit, and the connection wire group, a vehicle detection report by the vehicle detection unit or the server.