BATMAX

BATMAX
ID	OSWa4f8aca4f0da4ca3a29800b8c6ae3449
UUID	a4f8aca4-f0da-4ca3-a298-00b8c6ae3449
Label	BATMAX
Machine compatible name	BATMAX
Statements (outgoing)
Statements (incoming)

Description

a 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	2023-05-01
End	2026-10-31
Budget	0.0e+0
OU
Project manager
Member	VTT Technical Research Centre of Finland, Corvus Energy, SINTEF, Avesta Battery and Energy Engineering

Abstract

In the ever-evolving landscape of energy storage, the challenge lies in enhancing battery performance, safety and reliability across diverse applications. Existing battery management systems struggle to adapt, hindering advancements in mobile and stationary use cases. With this in mind, the EU-funded BATMAX project is setting the stage for a new era in energy storage efficiency. The project will leverage physics and data through cutting-edge digital twins. Specifically, BATMAX will develop a framework integrating experimental, operational and synthetic data. Through advanced numerical methods and sensorisation, it accelerates parameter extraction, reducing model development costs. Anticipated impacts include a 10 % increase in battery lifetime, a 20 % performance boost in specific scenarios, and a substantial cut in life-cycle costs.

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jsondata

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start_date	"2023-05-01"
end_date	"2026-10-31"
total_budget	4994575
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proposal	""
abstract	"In the ever-evolving landscape of energy storage, the challenge lies in enhancing battery performance, safety and reliability across diverse applications. Existing battery management systems struggle to adapt, hindering advancements in mobile and stationary use cases. With this in mind, the EU-funded BATMAX project is setting the stage for a new era in energy storage efficiency. The project will leverage physics and data through cutting-edge digital twins. Specifically, BATMAX will develop a framework integrating experimental, operational and synthetic data. Through advanced numerical methods and sensorisation, it accelerates parameter extraction, reducing model development costs. Anticipated impacts include a 10 % increase in battery lifetime, a 20 % performance boost in specific scenarios, and a substantial cut in life-cycle costs."
uuid	"a4f8aca4-f0da-4ca3-a298-00b8c6ae3449"
label	text "BATMAX" lang "en"
description	text "a Horizon Europe research project on battery management systems" lang "en"
name	"BATMAX"
image	"File:OSW1c8fc91d2f79409e9175c0176fda9298.png"