A Cyber-Physical System for In-operando Monitoring and Diagnostics of Battery Cells

PRIN 2022 Traverso

Abstract

A Cyber-Physical System for In-operando Monitoring and Diagnostics of Battery Cells According to the EU long-term vision, the Europe of the future would be a low-carbon and healthy continent, based on clean energy sources and efficient transportation, thanks to full exploitation of renewable energies, electrification, smart mobility and digitalization. The electrochemical battery, regardless of its chemical compounds, is one key technology to realize the above vision. To make the battery of the future the sustainable pillar for the development of a strategic technological asset, the battery innovation has to face challenges aiming at extending the lifetime of the battery cell and at making it safer and more economically viable. The Project described in this document aims at achieve these goals by developing a multi-parameter smart sensor network (including related models/algorithms for the interpretation/exploitation of data in terms of cell operation/state) to be deployed on each single battery cell and capable of measuring online different physical quantities in the time/space/frequency domains. This system may shut down the cell when required to lower the risks and the collection of data may foster the penetration of the second-life usage, causing a net reduction in the cost of ownership. This Project will include the design, development, deployment, and test of a Cyber-Physical System (CPS) supporting the concept of Smart Battery Cell. Accordingly, a chemical neutral architecture will be researched and proposed that is able to measure, monitor and diagnose the battery cell status, in-situ and while in-operation, through real-time online electrochemical impedance spectroscopy (EIS), distributed temperature and strain measurements. This multi-parameter approach is integrated in a model-based data-processing framework that collects data and sensor information to provide knowledge about the battery cell state-of-charge, state-of-health, and state-of-safety. A fully integrated EIS measurement system will be designed and fabricated to allow for dedicated low-power signal processing. The thermo-mechanical sensors will be based on wafer-level vacuum packaged silicon MEMS resonators to complement the set of sensors interfaced with the battery cell. The Project Partnership comprehends expertise in all needed development areas, such as VLSI design and fabrication, MEMS sensor design and fabrication, signal processing, modeling, system identification, reliability, and safety testing capabilities and facilities. The strong background of the proponents in the area of Instrumentation & Measurement will assure that all metrological attributes of the smart battery cell will be taken into consideration to provide instrumentation-grade performance to the realized prototypes. Description of the activity of UNIBO-DEI Unit and Expected Results Accurate measurements of battery parameters are the basis for most of the data processing and management done by standard BMSs. Typically, the BMS relies on global current, voltage, and temperature measurements carried out at the pack/module level, which provide only average information. Geometrically distributed and in-operando estimations of critical quantities at single cell level would instead provide much more insight and reliable information about the dynamic behavior of the battery during its whole life cycle, allowing for the implementation of next generation adaptive Battery Management Systems, fault warning solutions, and real-time diagnostics. In this Project, UNIBO-DEI will contribute to a novel monitoring approach based on an integrated multi-parameter sensing system at cell level. The approach is application-independent and chemistry-independent, in the sense that it is not specifically targeted towards a battery category and can be applied to any rechargeable battery cell (e.g., automotive, stationary storage, industrial rovers and drones). According to the Smart Cell concep

Dettagli del progetto

Responsabile scientifico: Pier Andrea Traverso

Strutture Unibo coinvolte:
Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Coordinatore:
Università  degli Studi di PERUGIA(Italy)

Contributo totale Unibo: Euro (EUR) 70.725,00
Durata del progetto in mesi: 24
Data di inizio 28/09/2023
Data di fine: 28/02/2026

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