Page 139 - AI for Good-Innovate for Impact Final Report 2024
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AI for Good-Innovate for Impact
Use Case – 31: Smart City Energy Grid Infrastructure based on Big
Data of Lithium Batteries 31 - YUGU
Country: China
Organization: Hanghzou Yugu Technology CO., LTD
Contact person: Zhao Li, lizhao@ yugu .net .cn
31�1� Use case summary table
Domain Smart Energy Service
Problem to be Eco friendly energy management
addressed Battery Range Anxiety
Inconvenient Battery Charging
Public Casualty
Reduce invalid mileage
Reduce Carbon Emission
Key aspects of the Battery swap as a service (BaaS)
solution LBS (Location based Service)
BMS (Battery Management System)
AIoT Resource Allocation and Scheduling
App Battery Range Estimation
Battery Anomaly Detection
Technology keywords AIoT (Artificial Intelligence of Things), Big Data
Data availability
Metadata (type of Rider pattern
data) Sensor data (Temperature, Acceleration, GPS, smoke, power, etc,.)
Model Training and SEB (sharing E-Bike) Transformer, GNN,
fine tuning Transformer, Graph Neural Network
Testbeds or pilot Demo link
deployments Paper or reference
• Efficient and Sustainable Battery-Swap Service: A Green AIoT
Solution for City E-Bike Riders link
• Transformer-based Graph Neural Networks for Battery Range
Prediction in AIoT Battery-Swap Services link
• Anomaly Detection in Battery Charging Systems: A Deep
Sequence Model Approach link
• Real-time E-bike Route Planning with Battery Range Prediction link
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