ENERGETIC
| ENERGETIC [OSW2836a7619c5f40eb96052b959f9babb0] | |
|---|---|
| ID | OSW2836a7619c5f40eb96052b959f9babb0 |
| UUID | 2836a761-9c5f-40eb-9605-2b959f9babb0 |
| Label | ENERGETIC |
| Machine compatible name | ENERGETIC |
| Ontology equivalents | |
| Statements (outgoing) | |
| Statements (incoming) | |
|
|
|
| Keywords | |
Description
An EU Horizon Europe research project on battery management systems
| Item | |
|---|---|
| Type(s)/Category(s) | Project |
| Project | |
|---|---|
| Type | Public |
| Grantor | |
| Funding call | |
| Grant ID | |
| Start | 2023-06-01 |
| End | 2026-08-31 |
| Budget | 0.0e+0 |
| OU | |
| Project manager | |
| Member | |
Abstract
The EU’s goal of achieving a carbon-neutral economy by 2050 requires a significant expansion of renewable energy sources, with energy storage playing a crucial role. Second-life batteries can contribute to the advancement of an electrified, decarbonised society. However, to ensure safe and efficient battery operation, battery management systems (BMS) require improved data and battery models. To address this, the EU-funded ENERGETIC project leverages AI to develop an enhanced BMS suitable for both transportation and stationary applications. This innovative system optimises battery usage, ensuring reliability, power, and safety across all operational modes. The project employs cutting-edge approaches, blending physics and data-based methods at the software and hardware levels, allowing it to predict battery lifespan and diagnose degradation using transparent AI models.
jsondata
| type |
| |||||
|---|---|---|---|---|---|---|
| subjects |
| |||||
| project_type | "public" | |||||
| project_status | "Item:OSW55a9a9bda7b248759e48ae2e3ed6df1d" | |||||
| funding_call | "" | |||||
| funder | "Item:OSWeb01c7cad4aa4c95ad51724a17fe91a1" | |||||
| funding | "" | |||||
| funding_name | "" | |||||
| ou |
| |||||
| project_manager |
| |||||
| member |
| |||||
| member_of |
| |||||
| start_date | "2023-06-01" | |||||
| end_date | "2026-08-31" | |||||
| total_budget | 4170167 | |||||
| yearly_budget |
| |||||
| proposal | "" | |||||
| abstract | "The EU’s goal of achieving a carbon-neutral economy by 2050 requires a significant expansion of renewable energy sources, with energy storage playing a crucial role. Second-life batteries can contribute to the advancement of an electrified, decarbonised society. However, to ensure safe and efficient battery operation, battery management systems (BMS) require improved data and battery models. To address this, the EU-funded ENERGETIC project leverages AI to develop an enhanced BMS suitable for both transportation and stationary applications. This innovative system optimises battery usage, ensuring reliability, power, and safety across all operational modes. The project employs cutting-edge approaches, blending physics and data-based methods at the software and hardware levels, allowing it to predict battery lifespan and diagnose degradation using transparent AI models." | |||||
| uuid | "2836a761-9c5f-40eb-9605-2b959f9babb0" | |||||
| label |
| |||||
| description |
| |||||
| name | "ENERGETIC" |