Projects / Programmes source: ARIS

State-of-health prognostics of electrochemical energy systems

Research activity

Code Science Field Subfield
2.06.03  Engineering sciences and technologies  Systems and cybernetics  Methods and tools for design and implementation of control systems 

Code Science Field
T125  Technological sciences  Automation, robotics, control engineering 

Code Science Field
2.02  Engineering and Technology  Electrical engineering, Electronic engineering, Information engineering 
Lithium-based batteries, PEM fuel cells, Prognostics and Health Management, Signal processing, Embedded systems
Evaluation (rules)
source: COBISS
Researchers (16)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  34624  PhD Pavle Boškoski  Systems and cybernetics  Head  2016 - 2019  179 
2.  28726  Stanislav Černe    Technical associate  2016 - 2019  41 
3.  24708  PhD Nadja Damij  Economics  Researcher  2016  195 
4.  34607  PhD Andrej Debenjak  Computer science and informatics  Researcher  2016 - 2018  34 
5.  15735  PhD Gregor Dolanc  Systems and cybernetics  Researcher  2016 - 2019  222 
6.  36715  PhD Boštjan Dolenc  Systems and cybernetics  Researcher  2018 - 2019  48 
7.  29965  Primož Fajdiga    Technical associate  2016 - 2019  30 
8.  35875  Marjeta Grahek    Technical associate  2017 - 2019 
9.  08351  PhD Vladimir Jovan  Systems and cybernetics  Researcher  2016 - 2019  381 
10.  02561  PhD Đani Juričić  Systems and cybernetics  Researcher  2016 - 2019  414 
11.  27800  PhD Zoran Levnajić  Physics  Researcher  2019  135 
12.  36836  PhD Biljana Mileva Boshkoska  Computer science and informatics  Researcher  2016 - 2018  159 
13.  28561  PhD Jože Moškon  Materials science and technology  Researcher  2017 - 2019  87 
14.  24269  PhD Bojan Musizza  Energy engineering  Researcher  2016 - 2018  117 
15.  04543  PhD Janko Petrovčič  Systems and cybernetics  Researcher  2016 - 2019  327 
16.  25655  PhD Boštjan Pregelj  Systems and cybernetics  Researcher  2016 - 2019  131 
Organisations (3)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  91,855 
2.  2784  Faculty of Information Studies in Novo mesto  Novo mesto  3375650  6,189 
3.  3006  Center of Excellence Low-Carbony Technologies  Ljubljana  3661431  482 
Electrochemical energy system (EES) is a joint label for electrochemical storage devices (i.e., batteries) and electrochemical conversion devices (i.e., fuel cells, electrolyzers). EESs are the key components in a range of priority areas like clean and efficient energy, green transport, smart buildings and many more segments of everyday life. Enormous effort across many disciplines, particularly in the development of new materials has been aimed to reach higher storage capacity, efficiency, reliability and longevity of EESs. Despite the progress, degradation phenomena still significantly affect EES safety and reduce the overall exploitation efficiency. The aim of this project is the development of online, accurate and computationally efficient prognostics and health management (PHM) approaches thus ensuring reliable EES operation. Such approaches provide information about the current condition indices and their degradation rate, which in the context of EES are referred to as State-Of-Health (SOH) and remaining useful life (RUL). These approaches are the heart of so-called PHM systems, which perform data acquisition and execute the PHM methods. PHM systems provide the end-user or the high-level control system with information required for conducting actions that mitigate the degradation effects. In particular, the PROG-EES project addresses the PHM issues for Lithium-based batteries and PEM fuel cells. Although these two EESs belong to two different groups, from the data analysis standpoint, they can be treated in a similar manner, thus justifying the joint study of both EES types within the same project. Two main issues limit the performance of the contemporary PHM systems for EES. The first is the usage of suboptimal signal processing methods and oversimplified models. Although detailed first principle electrochemical models are available, their complexity restricts the applicability for online PHM tasks. The second is the hardware implementation that either has limited capabilities or is dedicated solely to laboratory usage. In laboratory context, PHM tasks are conducted in dedicated diagnostic cycles that disrupt the normal EES operation, which is unacceptable in real world installations. Overcoming the aforementioned deficiencies requires advances in several segments: Tailored stochastic excitation signals coupled with effectual signal processing techniques. Such a combination will allow timely EES characterisation even in the low frequency band, which can be directly related to its SOH. Information fusion techniques for merging the information into SOH estimate. By taking into account the EES's nonlinearity, the complete approach will be sufficiently robust to changes in the operating set-point. Statistical degradation models. Based on the available electrochemical models, such degradation models will offer simplified yet sufficiently accurate framework applicable for online RUL estimation. Hardware implementation. Implementing the PHM system as a part of the power-conditioning unit (e.g., DC/DC converter) will enable seamless integration of online PHM without influencing nominal EES operation. The final result will be a cost-efficient online embedded PHM system for EESs. The feasibility of PROG-EES project is guaranteed by the interdisciplinary team of the project's partners with leading experts in modelling, statistics, PHM method development and electronics design. The expected impacts of the project results are far-reaching. The proposed PHM system will be applicable throughout the EES's operational life-time. More importantly, the methodological improvements will enable the development of SOH estimation devices required for next-generation EES recycling. Besides the obvious ecological impact, the project's co-financier, INEA d.o.o., will be among the first companies addressing the emerging EES refurbishing/repurposing market niche with estimated global worth of $3-billion-a-year by 2035.
Significance for science
Although the project concentrates on applied research a considerable endeavour is foreseen for basic research. Based on our past research achievements, we believe that new advances could be expected in the following segments: new algorithms for fast EES characterisation in the low frequency band based on a combination of specific excitation signals and signal processing methods; the information is expected to provide a direct link to SOH. improved RUL estimation algorithms applicable for EES operating under variable operating conditions. The gained knowledge from the development of the statistical degradation models should significantly contribute to the accuracy of RUL estimates. experimental validation of the employed methods; this will be of importance also for wider audience in research and industry. rich publicly available data set from run-to-failure experiments. This data will enable prospect researchers to assess their own algorithms thus allowing even further advances in the area of SOH and RUL estimation for EESs.
Significance for the country
The project results will have positive impact in two different segments of EES exploitation. On one side are the benefits of online SOH estimation of EESs that are in active use. On the other hand, there are the prospects of optimising the recycling processes for disposed and/or worn out EES. EESs are expected to become even more present in particular with is increased presence in the automotive and auxiliary power unit markets. The impact of PROG-EES results are primarily in the segment of optimal maintenance strategies. As such, timely and accurate SOH and RUL estimates can significantly contribute to the decrease of the cost of ownership and minimising the risks of unscheduled interruptions. The PROG-EES project is  fully aligned with the research and development directives of EU and Strategy of smart specialization of RS in particular in the segment of “System Efficient Energy Use And Conversion And Energy Efficient Systems”. On the national level alone, the resulting PHM platform can enhance product and services portfolio of 45 small, medium and large enterprises employing more than 14300 employees with sales revenues of more than 2,3 billion euros. The second segment of EES exploitation is even more attractive. A recent report by the Mineta National Transit Research Consortium estimates that by 2035 there will be somewhere between 1.3 million and 6.7 million worn-out EV hybrid and plug-in vehicles only in the U.S. Such a volume justifies commercial recycling and re-use programs. The report suggests that simple material recovery, which is currently the main recycling strategy, will not be financially viable approach. The optimal way would be to refurbish the EESs for different applications or remanufacturing them for re-use in less demanding applications. The currently active high-power EES have relatively young age thus there is no substantial inflow to the recycling industry yet. Consequently, there are no recycling facilities that adopt the refurbishing/repurposing strategy. With the developed PHM system, INEA d.o.o., the project's co-financier, will be among the first to develop devices required for the EES refurbishing/repurposing process. Therefore, the company will address a market niche that is initial stage and reaches far beyond Slovenian borders. According to Navigant estimates, the global "second-life" EES business will be generating $3-billion-a-year in revenue by 2035. Being among the first players offering an effective solution for this new aspect of EES recycling represents a significant market advantage.
Most important scientific results Final report
Most important socioeconomically and culturally relevant results Final report
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