HORIZON EUROPE
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Specific Challenge:Today, battery performance monitoring and control basically takes place only at the module or battery pack level via a battery management system (BMS). To gain a full supervision and thus control of the battery system and to increase their quality, reliability and life (QRL), it is necessary to monitor in operando the battery performance and control of their state of health (SoH), state of charge (SoC), state of energy (SoE), state of power (SoP) and state of safety (SoS). The challenge is to incorporate smart functionalities into the battery cell for following in time and space different relevant cell component parameters such as temperature variations, interface and interphase dynamics, structural changes by the integration and development of various sensing technologies so as to facilitate control of individual cells within the battery system.
Scope:The target is to develop a proof of concept for the establishment of successful sensing technologies capable of monitoring changes within a battery cell under various operation conditions, including their use under extreme weather conditions, as a first step towards the development of a wider ra...
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Specific Challenge:Today, battery performance monitoring and control basically takes place only at the module or battery pack level via a battery management system (BMS). To gain a full supervision and thus control of the battery system and to increase their quality, reliability and life (QRL), it is necessary to monitor in operando the battery performance and control of their state of health (SoH), state of charge (SoC), state of energy (SoE), state of power (SoP) and state of safety (SoS). The challenge is to incorporate smart functionalities into the battery cell for following in time and space different relevant cell component parameters such as temperature variations, interface and interphase dynamics, structural changes by the integration and development of various sensing technologies so as to facilitate control of individual cells within the battery system.
Scope:The target is to develop a proof of concept for the establishment of successful sensing technologies capable of monitoring changes within a battery cell under various operation conditions, including their use under extreme weather conditions, as a first step towards the development of a wider range of sensing technologies capable of monitoring of cells from various emerging battery chemistries. The proof of concept should focus on the sensing technologies and the integration of sensors in liquid electrolyte cell technologies since it is deemed to be the technology of choice for short to medium term. Proposals should aim at smart functionalities incorporated into the battery cell and relying on the integration and development of various sensing technologies to transmit information out of the cell, in order to facilitate control of individual cells within the battery system. Sensors could be used to simultaneously measure with high sensitivity and resolution changes in multiple parameters, such as chemical composition, strain, temperature, pressure, and concentration of dissolved cations, and this at various locations and for diverse components within the cell, under different use cases, especially during high power charging. They must consider the adaptability of sensors to the targeted cell environment in terms of chemical and electrochemical reactivity, thermal design and foresee boundary manufacturing constraints. Additional constraints such as cost and recyclability of the battery with embedded sensor technology should also be tackled. Data processing within an advanced battery management system (BMS) and the synchronization with sensor data coming from the module and the pack level, incl. provisions for conflicting data management, is another essential aspect. Advancements towards standardisation of the BMS could also be included. With this regard, collaboration shall be ensured with the topic LC-BAT-10-2020: Next generation and realisation of battery packs for BEV and HEV.
All results shall be validated and demonstrate significant improvements compared to the state-of-the art technologies, incl. benchmarking to initiatives or projects supported under national funding schemes.
The Commission considers that proposals for Research and Innovation Actions of a 3-year duration and requesting a contribution from the EU of between EUR 2 and 4 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals of another duration and/or requesting other amounts.
The project partners shall make provisions to actively participate in the common activities of the large scale research initiative on Future Battery Technologies and in particular: coordinate technical work with the other selected projects of the call under topics LC-BAT-12-2020 and LC-BAT-14-2020; and contribute to the activities of the Coordination and Support Action defined under the topic LC-BAT-15-2020. In particular, the project partners will need to conclude a written collaboration agreement with the other projects selected from these topics as indicated in the Grant Conditions.
Note that special Grant Conditions will apply for projects granted under this topic. Please see under Call Conditions.
Expected Impact:Increased quality, reliability and life (QRL) of the battery system by maximizing the performance and safety of the complete battery system over its lifetime, including forecasting the remaining lifetime under different use cases, especially the suitability for possible "second life" usage.Assured best possible performance and lifecycle for a range of applied cell types at lowest costIndustrial opportunities for exploiting new concepts and technologies for integrating multifunctional sensor capabilities in the battery cells and for optimizing the performance of the complete battery systemsBetter identification of defective cell components, allowing replacement of components or introduction of local targeted repair mechanisms, such as self-healing, in future cell design and chemistry generations.Improved knowledge on different factor (use patterns, ambient temperature etc.) impact on battery performance and characteristics.Provide the foundations for collecting large amounts of data that can be used for autonomous discovery of future battery chemistries and for development of advanced modelling approaches to improve current chemistries with a view of optimizing cell performance for mobility applications (linking with topic LC-BAT-6-2019)
Cross-cutting Priorities:LC-BAT
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Características del consorcio
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La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Características del Proyecto
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La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Características de la financiación
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic descripti... 1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply
Grants awarded under this topic shall be implemented as a programme through the use of complementary grants to those awarded under topics LC-BAT-12-2020, LC-BAT-13-2020, LC-BAT-14-2020 and LC-BAT-15-2020, and the respective options of Article 2, Article 31.6 and Article 41.4 2 of the Model Grant Agreement will be applied. In particular the projects are required to conclude a collaboration agreement, in principle prior to the signature of the grant agreement.
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
For grants awarded under this topic for Research and Innovation Actions the Commission or Agency may object to a transfer of ownership or the licensing of results to a third party established in a third country not associated to Horizon 2020. The respective option of Article 30.3 of the Model Grant Agreement will be applied.
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
8. Additional documents:
1. Introduction WP 2018-20
2. Future and Emerging Technologies (FETs) WP 2018-20
5i. Information and communication technologies (ICT) WP 2018-20
5ii. Nanotechnologies, advanced materials, advanced manufacturing and processing, biotechnology WP 2018-20
10. Secure, clean and efficient energy WP 2018-20
11. Smart, green and integrated transport WP 2018-20
12. Climate action, environment, resource efficiency and raw materials WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
20. Cross-cutting activities WP 2018-20
General annexes to the Work Programme 2018-2020
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
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