2025-05-13 09:00
2025-05-13 17:30
Event information
Date/Time
Venue
Assar Industrial Innovation Center - Skövde
Contact person
Raoul Lindberg
Phone
+46768008800
rlindberg@cnrood.com
Sustainable Battery Power SymposiumFrom Measurement to Second-Life Solutions Discover the future of sustainable energy at this University of Skövde and CN Rood symposium. Gain invaluable insights into the latest applicable technologies and safety standards driving innovation in the battery industry. Learn best practices for responsible battery handling, including strategies for managing batteries throughout their lifecycle. Dive into the critical role of test and measurements in ensuring the reliability and safety of battery systems. Join us and be at the forefront of shaping a greener, more sustainable energy landscape. This symposium is supported by: |
Agenda
| 09h00 | Coffee and registration | |
| 09h30 | Opening of the symposium Welcome to the symposium by the organizers and introduction to the University of Skövde |
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Stefan Ericson, University of Skövde and Frank Vervaeke, CN Rood |
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| 09h45 | Methods to Assure Quality in Battery Pack Manufacturing During the assembly of battery packs, laser welding is the predominant method to join busbars and battery tabs. This presentation will give an insight into state-of-the-art techniques for monitoring and analyzing laser weld quality. Different techniques, such as acoustic emission, photonics, tomography and thermal analyses will be discussed and evaluated. |
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Kent Salomonsson, University of Skövde |
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| 10h10 | Experimental and Numerical Validation of Battery Tab to Busbar Welds The joining technique for busbars to battery tabs is laser welding, and one of the main concerns is selecting appropriate laser process parameters. This presentation will elaborate on how to determine these parameters systematically. |
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Rohollah Ghasemi, University of Skövde |
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| 10h35 | Electrical qualification measurements for batteries Introduction by Hioki on which electrical qualification measurements are important for batteries and how to measure them. |
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Roy Hali, Hioki |
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| 11h00 | Coffee Break |
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| 11h15 | Importance of charge / discharge testing in an R&D environment Explanation on battery cyclers and why it is important to perform charge / discharge testing for battery cells, Modules or packs. |
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Guido Eckers, Elektro-Automatik |
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| 11h40 | Battery Pack Efficiency during charging/discharging - A multi-scale approach The presentation covers everything from the electrochemical reactions in the battery cells to the optimized performance of the assembled battery packs using a numerical multi-scale approach. For example, how does charging and discharging affect different degradation mechanisms? How can we assure efficient and optimized battery packs? |
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Fakash Meena, DTU University (Denmark) |
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| 12h05 | Lunch and labtour |
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| 13h20 | The software-centric battery lab The growing complexity of software in battery testing demands advanced platform solutions to handle large datasets and long test durations. This presentation explains how sophisticated software systems are crucial for automating test protocols, managing data flows, and improving interoperability between testing platforms. In short, it highlights how these systems support rapid development cycles despite lengthy testing timelines. We will talk about the advantages of emulating batteries for testing products in a lab environment. |
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David Samuelsson, National Instruments |
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| 13h45 | Physics-Based Machine Learning for Battery Modelling The concept of integrating physics-based and data-driven approaches has become popular for modeling energy systems. However, existing literature mainly focuses on data-driven surrogates generated to replace physics-based models. These models often trade accuracy for speed, but lack generalizability, adaptability, and interpretability inherent in physics-based models, which are qualities crucial for optimisation and control purposes. We propose a novel machine learning architecture, termed model-integrated neural networks (MINN), capable of learning the physics-based dynamics of general autonomous or non-autonomous systems consisting of partial differential algebraic equations (PDEs) and partial differential-algebraic equations (PDAEs). This architecture is then applied to the modelling of different batteries and electrode materials. Through illustrative results, we demonstrate that MINN can 1) significantly reduce the simulation time of PDAE and DAE models without compromising model fidelity, and 2) learn missing physics (e.g., chemical potentials) and parameters from voltage data for multi-phase battery modeling. |
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Changfu Zou, Chalmers University of Technology |
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| 14h10 | Impact of Cycle and Calendar Aging on Battery Scheduling for Energy Management and Services in Microgrids This presentation aims to quantify the impact of cycle aging and calendar aging on battery sizing for energy management and ancillary service in microgrids. Cycle aging occurs due to repeated charging and discharging cycles, while calendar aging results from the passage of time, even when the battery is not in active use. Understanding these degradation mechanisms is crucial for optimizing battery lifetime, performance, and economic viability in microgrids. To analyze the degradation patterns under different operational conditions for maximizing battery efficiency, reducing replacement costs, frequency regulation and peak shaving a developed strategy will be presented in this presentation. The findings will provide valuable insights into the trade-offs between battery utilization, degradation, and profitability in modern power systems. |
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Mostafa Kermani, University of Skövde |
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| 14h35 | Coffee Break |
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| 14h50 | Second Life Battery Energy Storages and Grid Flexibility This presentation is about the repurposing of second-life electric vehicle (EV) batteries for energy storage systems (ESS) in grid applications. The integration of second-life batteries into the grid can enhance flexibility by providing energy storage for peak load management, frequency regulation, and load shifting. It can also contribute to stabilizing renewable energy sources like solar and wind by storing excess generation for later use. Additionally, utilizing second-life batteries helps reduce environmental impact by minimizing the need for new raw materials and managing waste from decommissioned batteries. |
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Amin Hajizadeh, Aalborg University |
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| 15h15 | A Validated Forecasting Model for Optimizing Dispatch Schedules of PV–Battery Systems in Grid-Connected Apartment Buildings This presentation investigates the optimization of battery operations to maximize self-consumption and minimize costs through linear optimization coupled with day-ahead forecasting. Two interconnected modules are pivotal in the model: one for linear optimization toward three objective functions related to cost and self-consumption, and the other for accurate forecasting of building demand and PV generation using an Artificial Neural Network (ANN) framework. Finally the dispatch profiles are analyzed. The study aims to fill the research gap regarding PV-ESS systems in the GCRS by creating a monthly optimized dispatch schedule that considers Real-Time Pricing (RTP) and monthly power fees. The pricing parameters are based on electricity invoices from the KTH live in lab coupled with hourly day-ahead spot prices. The use of day-ahead forecasting also lays the groundwork for optimized control to be implemented on the physical system at the KTH Live-in Lab. This will be done in future studies in the research project. |
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Farzin Golzar, KTH Royal Institute of Technology |
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| 15h40 | Closing speech |
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| 15h55 | Networking drink This symposium was offered to you by the University of Skovde and CNRood. Please enjoy your drinks during this network drink and meet your fellow engineers. |
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| 17h30 | End of Event |
Registration
This symposium is at no cost offered to you and includes coffee, tea, refreshments and lunch. Prior registration is mandatory.