HIGH QUALITY FIELD DATA VIA AVILOO BATTERY CLOUD

AVILOO technology was developed based on a simple need – to determine the condition of a traction battery. A team of experts has worked for years to develop a unique formula that infallibly determines various battery factors such as functionality or health status.

Years of testing and data collection, as well as classifying vehicles according to several parameters depending on customer needs have resulted in a unique database of high-quality battery field data from all known electric vehicles and plug-in hybrids.

Case Study 1 - Battery manufacturer
Industries: Electronics, Energy
Task: Battery testing and data collection to create better versions of products and develop models for sustainable energy resource management.
Work process: Cell manufacturers and many other industry partners in the field of electromobility often have extensive laboratory data, but rarely large amounts of real field data. In this example, we are testing newly created batteries under various conditions. Customers have direct access to the real database via the AVILOO Data Battery Cloud, where they can monitor and analyse the results and determine the further course of testing.

Case Study 2 - Transport company with a fleet of refrigerated vehicles
Sector: Medicine/Food/Pharmaceuticals
Task: Monitoring and data collection of the existing fleet of delivery refrigerated vehicles in order
to optimize driving routes.
Work process: This project is carried out very intensively and in close cooperation with the client. A fleet of special delivery vehicles that transport goods such as medicines and foodstuffs under specific temperature conditions are monitored around the clock. The client uses the data provided via the AVILOO Battery Data Cloud platform to optimize train routes, all with the aim of optimising business operations and achieving Zero Emission.

PERMANENT REMOTE BATTERY MONITORING FOR INDUSTRIAL APPLICATIONS

Whether it is large battery storage for ships, ferries, electrified dredgers and cranes or stationary storage, permanent monitoring of the battery storage is of great importance.

The monitoring includes:

• 24/7 battery monitoring
• analysis of the collected data in relation to the client‘s needs
• predictive analysis and risk assessment of the battery condition, along with creation
  of strategies based on the results obtained.

Case Study 1 Current Direct
Sector: Shipping – transport of people and goods by water
Task: Monitoring and tracking of batteries on overseas transport vessels to create a predictive
maintenance strategy aiming at zero emission, efficient organization, sustainability and affordability.
Work process: providing information for each of the cells of each battery, delivered in real time to
the client; alerting and warning of irregularities in cell operation, distributed to each of the named persons, the moment the irregularity occurs; expert statistics available at any time; intelligent
analysis and processing of existing data; generating predictive analysis utilizing algorithms.

Case Study 2 - Global Heavy Machinery Manufacturer
Sector: Production – Robotics
Task: Monitoring of robots under factory conditions, with the aim of higher operational efficiency.
The work process: takes place in several stages - drawing up the project plan, establishing a connection to the monitoring objects (electronics), decoding the language of the electric batteries, monitoring, data collection and specific analysis.