ENERGETIC

ENERGETIC
ID	OSW2836a7619c5f40eb96052b959f9babb0
UUID	2836a761-9c5f-40eb-9605-2b959f9babb0
Label	ENERGETIC
Machine compatible name	ENERGETIC
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Statements (incoming)

Description

An EU Horizon Europe research project on battery management systems

Item
Type(s)/Category(s)	Project

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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.

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jsondata

type	"Category:OSWb2d7e6a2eff94c82b7f1f2699d5b0ee3"
subjects	"battery management system"
project_type	"public"
project_status	"Item:OSW55a9a9bda7b248759e48ae2e3ed6df1d"
funding_call	""
funder	"Item:OSWeb01c7cad4aa4c95ad51724a17fe91a1"
funding	""
funding_name	""
ou	Empty array
project_manager	Empty array
member	Empty array
member_of	Empty array
start_date	"2023-06-01"
end_date	"2026-08-31"
total_budget	4170167
yearly_budget	Empty array
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	text "ENERGETIC" lang "en"
description	text "An EU Horizon Europe research project on battery management systems" lang "en"
name	"ENERGETIC"