technical challenges

Data privacy: encryption and desensitization technology for vehicle-side data on the cloud (such as differential privacy algorithms);

Model generalization: differences in battery data for different vehicle models and usage scenarios lead to model failure;

Real-time: edge computing capabilities required for high-frequency data (such as 100Hz sampling).

Data Analytics Services

We provide comprehensive data collection and processing for EV battery management systems and operations.

Data Collection Plan
A sleek black Volkswagen ID.3 electric car is displayed inside a modern showroom with bright lighting. The vehicle is positioned on a raised platform beneath a white ceiling, with reflective surfaces highlighting its glossy finish. Nearby, a charging station marked with the Ohme logo is visible.
A sleek black Volkswagen ID.3 electric car is displayed inside a modern showroom with bright lighting. The vehicle is positioned on a raised platform beneath a white ceiling, with reflective surfaces highlighting its glossy finish. Nearby, a charging station marked with the Ohme logo is visible.

Establishing a robust plan for EV battery data sources and environmental factors.

A close-up view of an electric vehicle being charged. The charging cable is securely attached to the port on the vehicle. The car is white, and the charging cable is predominantly black with a visible yellow section. There is a green indicator light on the charging port.
A close-up view of an electric vehicle being charged. The charging cable is securely attached to the port on the vehicle. The car is white, and the charging cable is predominantly black with a visible yellow section. There is a green indicator light on the charging port.
The image features the rear section of a bright yellow electric vehicle with a charging plug inserted into the charge port. The taillight design is prominent, and there is a distinctive logo near the charge port.
The image features the rear section of a bright yellow electric vehicle with a charging plug inserted into the charge port. The taillight design is prominent, and there is a distinctive logo near the charge port.
Data Pre-Processing

Applying noise reduction and normalization techniques to enhance data accuracy and reliability.

Comprehensive Data Analysis

Advanced analytical insights

Development Trends of Electric Vehicle Battery Systems

Edge-cloud collaborative computing: local edge nodes process real-time data (such as BMS decision-making), and the cloud is responsible for long-term trend analysis (such as life prediction);

Cross-industry data fusion: integration of grid load data (optimization of V2G charging strategy), climate data (battery protection under extreme temperatures);

Self-evolving system: BMS strategy based on reinforcement learning automatically iterates without manual parameter adjustment (such as Waymo's battery management AI system).

Data

Comprehensive data collection and processing strategies implemented.

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