With the vigorous development of Internet of Things technology, the electric bicycle industry is undergoing an unprecedented intelligent change. Intelligent connectivity 

not only makes cycling more convenient and safe, but also brings riders an unprecedented personalized experience. This paper will deeply analyze the core technologies, 

application scenarios and future trends of intelligent interconnection of electric bicycles, and explore how this innovation leads cycling into a new era of intelligence.

Core technical support

GPS positioning and tracking: By integrating the GPS module, the electric bicycle can achieve accurate positioning, provide the owner with real-time location information 

of the vehicle, and effectively prevent theft. At the same time, this technology also provides the possibility of remote tracking of lost vehicles.

Bluetooth and Wi-Fi connectivity: Paired with a smartphone app via Bluetooth or Wi-Fi, riders can see the status of the vehicle (such as battery level, range, etc.) in real time, 

and even remotely control the lock and unlock of the vehicle.

Mobile Internet platform: The mobile application platform based on cloud computing provides users with a variety of services such as data analysis, cycling route planning, and 

social sharing, greatly enriching the cycling experience.

Sensor network: All kinds of sensors throughout the vehicle body, such as speed sensors, temperature sensors, vibration sensors, etc., can collect vehicle operation data in real 

time, providing a basis for intelligent diagnosis and maintenance.

Application scenario expansion

Intelligent navigation and route planning: Combined with GPS and map data, intelligent connected electric bicycles can provide riders with optimal route suggestions, avoid 

congested sections, and improve travel efficiency.

Health management and cycling data recording: By recording cycling distance, speed, calories consumed and other data, to help riders monitor fitness effects and encourage a healthy lifestyle.

Safety warning system: Integrated collision warning, blind spot monitoring and other safety technologies can sense potential dangers in advance and alert riders through 

sound or vibration to effectively improve riding safety.

Remote diagnosis and maintenance: Vehicle data is uploaded through the cloud, and manufacturers or service providers can remotely diagnose vehicle faults, provide timely 

maintenance recommendations or arrange services, and reduce downtime.

Future trend outlook

AI and Big Data analytics: With AI technology, e-bikes will be able to learn rider habits and provide more personalized services, such as predicting maintenance needs and 

optimizing riding experiences.

5G communication technology: The high speed and low delay characteristics of 5G will greatly improve the response speed and data processing capability of intelligent 

interconnection of electric bicycles, and achieve more real-time and efficient vehicle management and service.

Autonomous driving and fleet management: Although it is still in its infancy, the future of electric bicycles is expected to achieve a certain degree of autonomous driving 

function, especially in low-speed, closed parks or logistics distribution scenarios.

Energy Management and the Sharing Economy: Smart connected technologies will also facilitate e-bike interaction with the smart grid, enabling more efficient energy use. 

At the same time, the intelligent shared electric bicycle system will further optimize resource allocation and reduce travel costs.

To sum up, intelligent interconnection technology is profoundly changing the use of electric bicycles, transforming the original single means of transportation into an intelligent 

travel partner that integrates navigation, health, safety and social interaction. With the continuous maturity and innovation of technology, the future of electric bicycles will be 

more intelligent, green and convenient, leading riders into a new era of intelligent cycling full of infinite possibilities.