Resources

ALL
Dissemination materials

→ Factsheet on NEMO’s EIS-based SoT estimation

Discover how Electrochemical Impedance Spectroscopy (EIS) is enabling more intelligent battery temperature monitoring: can the internal temperature of lithium-ion batteries be estimated accurately without embedded sensors? Learn how NEMO’s State of Temperature (SoT) algorithm uses impedance-based measurements to deliver real-time temperature estimation, supporting advanced thermal management, enhanced safety, and next-generation Battery Management Systems.
Journal articles

→ Quantitative separation of thermal and electrochemical contributions in nonlinear EIS measurements

This study investigates the origins of impedance changes during high-current excitation in lithium-ion batteries. Using two novel measurement protocols based on Electrochemical Impedance Spectroscopy (EIS) and Nonlinear EIS (NLEIS), the researchers successfully distinguish between electrochemical nonlinearity and self-heating effects, providing new insights into battery behaviour and challenging commonly used linearity criteria.
Dissemination materials

→ Factsheet on NEMO’s Physics-based models

Gain insights into physics-based battery modelling approaches driving smarter battery management: how can ageing, swelling and performance degradation be predicted under real operating conditions? Learn how an extended P2D model, combined with EIS data and pressure-dependent parameters, enables sensor-free swelling prediction, digital twin applications, and lifetime-aware battery optimisation.
Dissemination materials

→ Factsheet on NEMO’s SoS estimator based on BMS data

Discover advanced battery safety monitoring approaches powered by BMS data: how can early signs of battery damage be detected before critical failures occur? Learn how combining data-driven modelling with physics-informed electrical, thermal and mechanical indicators enables State-of-Safety estimation, long-term safety forecasting, and cloud-supported risk management for next-generation battery systems.
Journal articles

→ Multi-Modal Diagnosis of Aging in NMC631 Cells Using Incremental Capacity and Electrochemical Impedance Spectroscopy

This study analyzes the aging of 75 Ah NMC631 lithium‑ion cells under different temperatures using incremental capacity analysis and impedance spectroscopy. The results show that lower temperatures help preserve performance, with cells retaining high health after extensive cycling. The combined methods reveal multiple degradation mechanisms and show that internal cell differences drive varying aging pathways. Overall, the approach improves the ability to distinguish gradual degradation from failure processes in high‑energy batteries.
Journal articles

→ Practical considerations and limitations of online EIS-based battery internal temperature estimation in traction applications

Researchers involved in the EU-funded project NEMO have published a new peer-reviewed scientific paper in the Journal of Power Sources, addressing a critical challenge in modern battery management: the practical applicability of online Electrochemical Impedance Spectroscopy (EIS) for real-world battery systems.
Dissemination materials

→ Factsheet on NEMO’s software innovations: advanced bms software, real-time execution, and cloud integration

Gain insights into how software innovations are enabling next-generation Battery Management Systems: which software architectures support the real-time execution of advanced physics-based and data-driven models? How can hybrid on‑board and cloud computing be combined to unlock EIS-based sensing, enhanced state estimation, and state‑of‑health–driven balancing strategies? This factsheet introduces the software foundations of the NEMO project, highlighting how embedded real-time execution, modular integration layers, and scalable battery analytics form an enabling platform for intelligent, robust, and future-ready BMS solutions.
Journal articles

→ Development of a P2D-based model for battery swelling prediction under mechanical constraints

In this study, researchers present a pseudo-two-dimensional (P2D) model which integrates lithium ion transport dynamics with pressure-dependent parameters to enable swelling prediction of LIBs under mechanical constraints without requiring real-time sensors during operation. We found that the model predicts cell thickness changes during 1C discharge at 0.164 MPa with a mean absolute percentage error (MAPE) of 6.87% compared to experimental results. These findings bridge the gap in predicting changes in cell thickness under mechanical constraints. The approach in our study is crucial for the safety assessment of mechanically constrained battery systems.
Journal articles

→ Effects of Mechanical Deformation Depth and Size on the Electrochemical Impedance Response of Large-Format Lithium-Ion Batteries

This study uses electrochemical impedance spectroscopy (EIS) to investigate coupled effects of mechanical deformation depth and size on impedance responses of large-format prismatic lithium-ion batteries (LIBs). These results reveal that deformation depth and size significantly influence EIS measurements, with non-linear interactions and transition points indicative of irreversible damage. These results support the use of EIS as a non-destructive diagnostic tool for identifying mechanical damage in LIBs.
Journal articles

→ Optimization of charging process for electric micromobility devices with real-time operation

While fast charging offers undeniable benefits in user convenience, it also presents significant challenges, particularly concerning the thermal management of batteries. The e-micromobility devices, such as e-bikes and e-motorcycle, often use cost-efficiency processors and passive cooling due to cost considerations, which makes it difficult for existing optimization algorithms to run reliably on these devices. To tackle these challenges, this study proposed an optimized charging algorithm for those devices.

Dissemination materials

→ Factsheet on NEMO’s zBMS: hardware innovations

Gain insights into hardware innovations driving smarter battery management: what are the hardware requirements for a leading-edge BMS in terms of efficient embedded computing? What about battery balancing algorithms and sensor techniques for electrochemical impedance spectroscopy (EIS)? Learn about the use of AURIX TC4x, IFAT EIS Chip, and advanced cell balancing in modern BMS architectures.
Dissemination materials

→ Factsheet on NEMO’s zBMS: EIS-capable cell management system

This technical factsheet presents key features of NEMO's Battery Management System (zBMS), an EIS-capable cell management system with wireless communication and computational power. It will be presented by project partner CSEM on the occasion of the demo demonstrator at the Battery Show event, held at Messe Stuttgart, Germany (June 3–5, 2025), and will also be disseminated online.
PAGE 1 OF 2

Media Kit

Download the communication materials below to find out more about the project.

→ Digital leaflet

→ NEMO’s logo

→ Brandbook

Are you a NEMO's partner? Go to
→ NEMO'S INTRANET
MENU
CLOSE
GO TO TOP

NEMO

We are paving the way for a brighter, more sustainable energy future. Subscribe and follow us on our social accounts:

SUBSCRIBE TO THE NEWSLETTER
MD SAZZAD HOSEN
Project coordinator, VUB
→ md.sazzad.hosen@vub.be
AITOR SÁNCHEZ
Project coordinator, VUB
→ aitor.sanchez@vub.be
MARIA LUNA SCHIASSI
Communication officer, ICONS
→ info@nemoproject.eu
→ DISCLAIMER
Co-Funded by the European Union
Swiss participant Centre Suisse d'Electronique et de Microtechnique SA - Recherche
et Developpement (CSEM) has received funding from the Swiss State
Secretariat for Education, Research and Innovation (SERI).
→ PRIVACY NOTICE