Summary
- Profile Type
- Research & Development Request
- POD Reference
- RDRTR20240517015
- Term of Validity
- 17 May 2024 - 17 May 2025
- Company's Country
- Turkey
- Type of partnership
- Research and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
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A European-based SME company, specialized in providing state-of-the-art software solutions for battery management systems for both embedded and cloud. The company actively seeks
collaborations under a R&D agreement to address challenges faced by electric vehicle batteries; including range, lifetime, safety and re-usability. The project aims to develop next-generation, data-driven BMS by merging cutting-edge hardware and software solutions to improve lifetime and performance of EV batteries. - Full Description
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In the electric vehicle industry, the applicability of cloud-based services, artificial intelligence, and IoT technologies is increasing. However, the changing demands and needs of customers highlight the necessity for developing next generation data-based and adaptable battery management systems by combining cutting edge hardware and software solutions.
The main objective of the project is to develop next generation data-based and adaptable battery management systems to enhance battery system performance, safety, reliability, lifespan, and lifetime cost, while improving the value created by operations of the battery systems in various kinds of applications where the circular value chain for EV batteries places sustainability at the forefront, aiming to maximize battery life cycles through practices such as first-use, re-use, remanufacturing, and recycling.
The project aims to establish a framework for efficiently parameterizing physics-based models , as well as the hardware and sensorisation on cell and system level to collect and communicate battery measurement data through IoT, with support from Edge and Cloud computing. This includes advanced battery models with integrated digital twins capable of managing large volumes of measured data, facilitating comprehensive monitoring of battery aging. This framework enables the utilization of state-of-the-art technology and techniques such as machine learning, deep learning algorithms, IoT and Cloud to provide an economical and reliable solution by offering functions such as battery state estimations, remaining lifetime predictions, early failure detection and predictive maintenance with higher accuracy. By the implementation of functional safety and cybersecurity features, the project ensures that the developed systems meet the highest standards of functionality and safety, verified by their feasibility through targeted bench tests. - Advantages and Innovations
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The next-generation battery management system paves the way for a new era of sustainability and economic growth in the battery industry, achieving remarkable milestones ahead. It aims to deliver:
- Increased battery life, thereby reduced environmental impact and maximized value.
- Accurate the state of health and charge estimation for longer battery lifespan and higher safety.
- Accurate Remaining Useful Life (RUL) and End-of-Life prediction for an efficient selection of second life application’s usage and recycling.
- Early detection of potential issues through continuous monitoring of battery data, thereby minimizing safety risks.
- Advanced battery data acquisition utilizes sensor-based solutions at the battery system to enable deeper understanding of cell state and improved functionality.
- Concurrent development of systems with models and sensors to gain deeper understanding of battery cell degradation processes.
- Enabled simultaneous measurement of current and voltage across multiple cells for EIS (electrochemical impedance spectroscopy) analysis. - Stage of Development
- Concept stage
- Sustainable Development Goals
- Goal 9: Industry, Innovation and Infrastructure
- IPR description
- The company's expertise encompasses software, hardware, mechanics, systems engineering, and test engineering.
Partner Sought
- Expected Role of a Partner
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The project is anticipated to be developed in collaboration with partners (business, academic,
research organization, industry etc.) from five different area:
Partner for BMS Hardware
● Development and implementation of the hardware elements for next-generation battery
management systems.
● Review available battery technologies and develop methods for smart sensing and monitoring
by considering both first and second life applications of the battery.
● Deploy cutting-edge sensor technologies and novel approaches to gather extensive and precise
data from measurements (e.g. temperature, pressure, current, impedance, etc.) on battery
cells/modules/packs.
● Integrate novel sensors such as electrochemical impedance spectroscopy (EIS) sensor into the
BMS to real-time monitoring and analysis of various electrochemical processes within battery
cells and tracking their progression over time.
Partner for Battery Analytic
● Battery Intelligence:
○ Estimation of battery model parameters
○ Design electrical battery model for Battery Digital Twin to used during dynamic operations
○ Develop machine learning models for battery state estimations (SOH, SOC, RUL, EOL)
○ Develop machine learning models for early cell anomaly detection
● Battery 2nd Life and Recycling:
○ Define the requirements of the data necessary for developing decision-making tools for
End-of-Life (EoL) batteries.
○ Identify the needs and requirements for battery 2nd life applications.
○ Collect technical requirements for an ideal way of recycling.
Partner for IoT Gateway
● Development of the IoT Gateway, leveraging next-generation edge and cloud computing
● Connection of the embedded Battery Management System to the cloud.
● Determining the necessary data formats to facilitate smooth data transfer.
Partner for Test and Validation
● Establishing a framework for testing, monitoring, and assessing battery performance.
● Shorten the time frame and reduce the number of physical tests.
● Performing virtual tests in a relevant environment within the living lab.
● Creation of concepts for smart combination of physical and virtual testing.
● Validating the feasibility of selected bench tests.
● Performing module-level testing for performance validation.
● Single cell characterization and battery aging experiments.
● Demonstration of performance and validate safety features across various applications.
Partner for Functional Safety (26262) and Cyber Security (ISO 21434)
● Creation of a holistic cybersecurity architecture to protect the BMS.
● Developing FSR and TSR requirements.
● Establishment of decentralized identity and access management protocols.
● Utilizing AI to detect data manipulation.
● Implementation of advanced cybersecurity controls to securely prepare the BMS for second-life
applications.
● Ensuring the battery's functional and safety status. - Type and Size of Partner
- UniversitySME <=10SME 50 - 249SME 11-49
- Type of partnership
- Research and development cooperation agreement
Call details
- Framework program
- Eureka
- Call title and identifier
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Eurostars
- Coordinator required
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No
- Deadline for EoI
- Deadline of the call
Dissemination
- Technology keywords
- 04001003 - Storage of electricity, batteries
- Market keywords
- 02007027 - Other software services
- Sector Groups Involved
- Mobility - Transport - AutomotiveElectronicsEnergy-Intensive Industries
- Targeted countries
- All countries