Research on intelligent electric vehicle control system based on torque sensor
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- Time of issue:2022-10-24 16:40
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(Summary description)With its light and flexible, green, healthy and convenient features, the intelligent electric bicycle is gradually becoming the ideal fitness and travel tool for modern people. Compared with traditional electric bikes in China, the most obvious difference between smart electric bikes is that they have an intelligent booster function. Traditional electric bikes have a single control method, low motor efficiency, poor riding experience and other shortcomings, intelligent electric bikes to replace traditional electric bikes is the inevitable trend of future transportation development. In this paper, we propose an intelligent e-bike control system (hereinafter referred to as TSECS (Torque Sensor E-bike Control System)), which is based on the core component of the mid-axis type torque sensor and integrated multi-parameter control, to realize the informationization and intelligence of e-bike control. The main research works are as follows: (1) Through the analysis of the mechanical structure of the intelligent electric bicycle and the stress conditions during the riding process, a torque sensor solution based on the stress detection method of the central axis of the electric bicycle is proposed, and the central axis torque is measured by the resistance strain gauge. The torque sensor is sealed and rotates at high speed during operation, and a wireless energy supply and torque signal transmission solution is proposed. (2) The single torque control method cannot achieve the best booster effect in uphill and windy conditions. Based on the real-time acquisition of torque signal, the PID control algorithm is used to realize multi-parameter intelligent control by integrating multiple parameters such as vehicle speed, road conditions and remaining battery power. (3) Low-power Bluetooth technology is used to realize the communication between the electric vehicle and the smart phone, which complements the intelligent control and data processing, realizing the functions of positioning and navigation, power consumption management of the lithium battery, and independent adjustment of the booster mode.
Research on intelligent electric vehicle control system based on torque sensor
(Summary description)With its light and flexible, green, healthy and convenient features, the intelligent electric bicycle is gradually becoming the ideal fitness and travel tool for modern people. Compared with traditional electric bikes in China, the most obvious difference between smart electric bikes is that they have an intelligent booster function. Traditional electric bikes have a single control method, low motor efficiency, poor riding experience and other shortcomings, intelligent electric bikes to replace traditional electric bikes is the inevitable trend of future transportation development. In this paper, we propose an intelligent e-bike control system (hereinafter referred to as TSECS (Torque Sensor E-bike Control System)), which is based on the core component of the mid-axis type torque sensor and integrated multi-parameter control, to realize the informationization and intelligence of e-bike control. The main research works are as follows: (1) Through the analysis of the mechanical structure of the intelligent electric bicycle and the stress conditions during the riding process, a torque sensor solution based on the stress detection method of the central axis of the electric bicycle is proposed, and the central axis torque is measured by the resistance strain gauge. The torque sensor is sealed and rotates at high speed during operation, and a wireless energy supply and torque signal transmission solution is proposed. (2) The single torque control method cannot achieve the best booster effect in uphill and windy conditions. Based on the real-time acquisition of torque signal, the PID control algorithm is used to realize multi-parameter intelligent control by integrating multiple parameters such as vehicle speed, road conditions and remaining battery power. (3) Low-power Bluetooth technology is used to realize the communication between the electric vehicle and the smart phone, which complements the intelligent control and data processing, realizing the functions of positioning and navigation, power consumption management of the lithium battery, and independent adjustment of the booster mode.
- Categories:FAQs
- Author:
- Source:
- Time of issue:2022-10-24 16:40
- Views:
With its light and flexible, green, healthy and convenient features, the intelligent electric bicycle is gradually becoming the ideal fitness and travel tool for modern people. Compared with traditional electric bikes in China, the most obvious difference between smart electric bikes is that they have an intelligent booster function. Traditional electric bikes have a single control method, low motor efficiency, poor riding experience and other shortcomings, intelligent electric bikes to replace traditional electric bikes is the inevitable trend of future transportation development. In this paper, we propose an intelligent e-bike control system (hereinafter referred to as TSECS (Torque Sensor E-bike Control System)), which is based on the core component of the mid-axis type torque sensor and integrated multi-parameter control, to realize the informationization and intelligence of e-bike control. The main research works are as follows: (1) Through the analysis of the mechanical structure of the intelligent electric bicycle and the stress conditions during the riding process, a torque sensor solution based on the stress detection method of the central axis of the electric bicycle is proposed, and the central axis torque is measured by the resistance strain gauge. The torque sensor is sealed and rotates at high speed during operation, and a wireless energy supply and torque signal transmission solution is proposed. (2) The single torque control method cannot achieve the best booster effect in uphill and windy conditions. Based on the real-time acquisition of torque signal, the PID control algorithm is used to realize multi-parameter intelligent control by integrating multiple parameters such as vehicle speed, road conditions and remaining battery power. (3) Low-power Bluetooth technology is used to realize the communication between the electric vehicle and the smart phone, which complements the intelligent control and data processing, realizing the functions of positioning and navigation, power consumption management of the lithium battery, and independent adjustment of the booster mode.
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