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Publications (10 of 21) Show all publications
Staaf, H., Matsson, S., Sepheri, S., Köhler, E., Daoud, K., Ahrentorp, F., . . . Rusu, C. (2024). Simulated and measured piezoelectric energy harvesting of dynamic load in tires. Heliyon, 10(7), Article ID e29043.
Open this publication in new window or tab >>Simulated and measured piezoelectric energy harvesting of dynamic load in tires
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2024 (English)In: Heliyon, E-ISSN 2405-8440, Vol. 10, no 7, article id e29043Article in journal (Refereed) Published
Abstract [en]

From 2007 in US and from 2022 in EU it is mandatory to use TPMS monitoring in new cars. Sensors mounted in tires require a continuous power supply, which currently only is from batteries. Piezoelectric energy harvesting is a promising technology to harvest energy from tire movement and deformation to prolong usage of batteries and even avoid them inside tires. This study presents a simpler method to simultaneous model the tire deformation and piezoelectric harvester performance by using a new simulation approach - dynamic bending zone. For this, angular and initial velocities were used for rolling motion, while angled polarization was introduced in the model for the piezoelectric material to generate correct voltage from tire deformation. We combined this numerical simulation in COMSOL Multiphysics with real-life measurements of electrical output of a piezoelectric energy harvester that was mounted onto a tire. This modelling approach allowed for 10 times decrease in simulation time as well as simpler investigation of systems parameters influencing the output power. By using experimental data, the simulation could be fine-tuned for material properties and for easier extrapolation of tire deformation with output harvested energy from simulations done at low velocity to the high velocity experimental data.

Place, publisher, year, edition, pages
Elsevier Ltd, 2024
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:ri:diva-72824 (URN)10.1016/j.heliyon.2024.e29043 (DOI)2-s2.0-85189816504 (Scopus ID)
Note

This work has received funding from ECSEL JU-2020-1-IA grant ‘Energy ECS - Smart and secure energy solutions for future mobility’ (grant agreement No 101007247).

Available from: 2024-05-14 Created: 2024-05-14 Last updated: 2024-05-14Bibliographically approved
Romani, A., Rusu, C., Staaf, H. & Avetisova, K. (2023). The ENERGY ECS Project: Smart and Secure Energy Solutions for Future Mobility. In: 2023 AEIT International Conference on Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE): . Paper presented at 2023 AEIT International Conference on Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE). IEEE
Open this publication in new window or tab >>The ENERGY ECS Project: Smart and Secure Energy Solutions for Future Mobility
2023 (English)In: 2023 AEIT International Conference on Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), IEEE , 2023Conference paper, Published paper (Refereed)
Abstract [en]

Electric and smart mobility are key enablers for their green energy transition. However, the electrification of vehicles poses several challenges, from the development of power components to the organization of the electric grid system. Moreover, it is expected that the smartification of mobility via sensors and novel transport paradigms will play an essential role in the reduction of the consumed energy. In response to these challenges and expectations, the ENERGY ECS project is pursuing smart and secure energy solutions for the mobility of the future, by developing power components, battery charging electronics, and self-powered sensors for condition monitoring, along with advanced techniques for grid management, applications of artificial intelligence, machine learning and immersing technologies. This paper presents the project’s objectives and reports intermediate results from the perspective of the targeted use cases.

Place, publisher, year, edition, pages
IEEE, 2023
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-67037 (URN)10.23919/aeitautomotive58986.2023.10217190 (DOI)2-s2.0-85170641746 (Scopus ID)
Conference
2023 AEIT International Conference on Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)
Note

This project has received funding from the ECSEL Joint Undertaking (JU) under grant agreement no. 101007247. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Finland, Germany, Ireland, Sweden, Italy, Austria, Iceland, Switzerland.

Available from: 2023-09-21 Created: 2023-09-21 Last updated: 2023-09-28Bibliographically approved
Staaf, H., Sawatdee, A., Rusu, C., Nilsson, D., Schäffner, P. & Johansson, C. (2022). High magnetoelectric coupling of Metglas and P(VDF-TrFE) laminates. Scientific Reports, 12(1), Article ID 5233.
Open this publication in new window or tab >>High magnetoelectric coupling of Metglas and P(VDF-TrFE) laminates
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2022 (English)In: Scientific Reports, Vol. 12, no 1, article id 5233Article in journal (Refereed) Published
Abstract [en]

Magnetoelectric (magnetic/piezoelectric) heterostructures bring new functionalities to develop novel transducer devices such as (wireless) sensors or energy harvesters and thus have been attracting research interest in the last years. We have studied the magnetoelectric coupling between Metglas films (2826 MB) and poly(vinylidene fluoride-trifluoroethylene) (P(VDF-TrFE)) in a laminate structure. The metallic Metglas film itself served as bottom electrode and as top electrode we used an electrically conductive polymer, poly(3,4-ethylene-dioxythiophene):poly(styrene sulfonate) (PEDOT:PSS). Besides a direct electrical wiring via a graphite ink, a novel contactless readout method is presented using a capacitive coupling between the PEDOT:PSS layer and an electrode not in contact with the PEDOT:PSS layer. From the experimental result we determined a magnetoelectric coupling of 1445 V/(cm·Oe) at the magnetoelastic resonance of the structure, which is among the highest reported values for laminate structures of a magnetostrictive and a piezoelectric polymer layer. With the noncontact readout method, a magnetoelectric coupling of about 950 V/(cm·Oe) could be achieved, which surpasses previously reported values for the case of direct sample contacting. 2D laser Doppler vibrometer measurements in combination with FE simulations were applied to reveal the complex vibration pattern resulting in the strong resonant response.

National Category
Condensed Matter Physics
Identifiers
urn:nbn:se:ri:diva-58961 (URN)10.1038/s41598-022-09171-3 (DOI)
Available from: 2022-03-29 Created: 2022-03-29 Last updated: 2024-03-03Bibliographically approved
Rusu, C. (2022). Miniaturised Energy Harvesting @ RISE. In: : . Paper presented at EnerHarv 2022.
Open this publication in new window or tab >>Miniaturised Energy Harvesting @ RISE
2022 (English)Conference paper, Oral presentation only (Other academic)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-68584 (URN)
Conference
EnerHarv 2022
Available from: 2023-12-13 Created: 2023-12-13 Last updated: 2023-12-13Bibliographically approved
Bjurström, J., Ohlsson, F., Vikerfors, A., Rusu, C. & Johansson, C. (2022). Tunable spring balanced magnetic energy harvester for low frequencies and small displacements. Energy Conversion and Management, 259, Article ID 115568.
Open this publication in new window or tab >>Tunable spring balanced magnetic energy harvester for low frequencies and small displacements
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2022 (English)In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 259, article id 115568Article in journal (Refereed) Published
Abstract [en]

In this paper we present a novel concept to efficiently harvest vibrational energy at low frequencies and very small displacement. We describe and evaluate an electromagnetic energy harvester which generates power from a magnetic circuit with motion induced variations of an air gap. External vibrations induce oscillations of the gap length around an equilibrium point, due to a linear spring counteracting the magnetic force. The relative position of the spring can be adjusted to optimize the harvester output for excitation amplitude and frequency. A simulation model is built in COMSOL and verified by comparison with lab measurements. The simulation model is used to determine the potential performance of the proposed concept under both harmonic and non-harmonic excitation. Under harmonic excitation, we achieve a simulated RMS load power of 26.5 μW at 22 Hz and 0.028 g acceleration amplitude. From a set of comparable EH we achieve the highest theoretical power metric of 1712.2 µW/cm3/g2 while maintaining the largest relative bandwidth of 81.8%. Using measured non-harmonic vibration data, with a mean acceleration of 0.039 g, resulted in a mean power of 52 μW. Moreover, the simplicity and robustness of our design makes it a competitive alternative for use in practical situations.

Place, publisher, year, edition, pages
Elsevier Ltd, 2022
Keywords
Automotive safety, Electromagnetic induction, Low frequency, Nonlinear dynamics, Small amplitude excitation, Vibration energy harvesting, Electric excitation, Electromagnetic waves, Harmonic analysis, Magnetic circuits, Vehicle safety, Amplitude excitation, Energy Harvester, Harmonic excitation, Lower frequencies, Simulation model, Small amplitude, Small displacement, Energy harvesting
National Category
Metallurgy and Metallic Materials
Identifiers
urn:nbn:se:ri:diva-59230 (URN)10.1016/j.enconman.2022.115568 (DOI)2-s2.0-85127701559 (Scopus ID)
Note

Funding details: Stiftelsen för Strategisk Forskning, SSF, 2017-03725, FID16-0055; Funding text 1: This work has received funding from Swedish Foundation for Strategic Research in the program for ‘Research Institute PhD’ (grant no. FID16-0055 ) and the Sweden’s Innovation Agency , Vinnova, grant Challenge-Driven Innovation ‘Energy Toolkit’ (no. 2017-03725 ).

Available from: 2022-06-02 Created: 2022-06-02 Last updated: 2024-06-24Bibliographically approved
Bjurström, J., Ohlsson, F., Rusu, C. & Johansson, C. (2022). Unified Modeling and Analysis of Vibration Energy Harvesters under Inertial Loads and Prescribed Displacements. Applied Sciences: APPS, 12(19)
Open this publication in new window or tab >>Unified Modeling and Analysis of Vibration Energy Harvesters under Inertial Loads and Prescribed Displacements
2022 (English)In: Applied Sciences: APPS, E-ISSN 1454-5101, Vol. 12, no 19Article in journal (Refereed) Published
Abstract [en]

In this paper, we extend the optimization analysis found in the current literature for single-degree-of-freedom vibrational energy harvesters. We numerically derive and analyze the optimization conditions based on unified expressions for piezoelectric and electromagnetic energy harvesters. Our contribution lies in the detailed analysis and comparison of both resonant and anti-resonant states while fully including the effect of intrinsic resistance. We include both the case of excitation by inertial load and prescribed displacement, as the latter has not been elaborated on in the previous literature and provides new insights. We perform a general analysis but also consider typical values of applied piezoelectric and electromagnetic energy harvesters. Our results improve upon previous similar comparative studies by providing new and useful insights regarding optimal load, load power and power input to output efficiency. Our analysis shows an exponential increase in the critical mechanical quality factor due to the resistive loss coefficient. We find that the ratio of mechanical quality factor to resistive loss coefficient, at resonance, increases drastically close to the theoretical maximum for load power. Under the same optimization conditions, an equivalent conclusion can be drawn regarding efficiency. We find that the efficiency at anti-resonance behaves differently and is equal to or larger than the efficiency at resonance. We also show that the optimal load coefficient at resonance has a significant dependence on the mechanical quality factor only when the resistive loss coefficient is large. Our comparison of excitation types supports the previous literature, in a simple and intuitive way, regarding optimal load by impedance matching and power output efficiency. Our modeling and exploration of new parameter spaces provide an improved tool to aid the development of new harvester prototypes.

Place, publisher, year, edition, pages
MDPI, 2022
Keywords
vibration energy harvesting, unified modeling, piezoelectric, electromagnetic, anti-resonance, prescribed displacement
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:ri:diva-61121 (URN)10.3390/app12199815 (DOI)
Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2024-06-24Bibliographically approved
Ohlsson, F., Johannisson, P. & Rusu, C. (2021). Geometrical nonlinearities and shape effects in electromechanical models of piezoelectric bridge structures. International Journal of Energy and Environmental Engineering, 12, 725
Open this publication in new window or tab >>Geometrical nonlinearities and shape effects in electromechanical models of piezoelectric bridge structures
2021 (English)In: International Journal of Energy and Environmental Engineering, ISSN 2008-9163, E-ISSN 2251-6832, Vol. 12, p. 725-Article in journal (Refereed) Published
Abstract [en]

We consider nonlinear shape effects appearing in the lumped electromechanical model of a bimorph piezoelectric bridge structure due to the interaction between the electromechanical constitutive model and the geometry of the structure. At finite proof-mass displacement and electrode voltage, the shape of the beams is no longer given by Euler-Bernoulli theory which implies that shape effects enter in both the electrical and mechanical domains and in the coupling between them. Accounting for such effects is important for the accurate modelling of, e.g., piezoelectrical energy harvesters and actuators in the regime of large deflections and voltages. We present a general method, based on a variational approach minimizing the Gibbs enthalpy of the system, for computing corrections to the nominal shape function and the associated corrections to the lumped model. The lowest order correction is derived explicitly and is shown to produce significant improvements in model accuracy, both in terms of the Gibbs enthalpy and the shape function itself, over a large range of displacements and voltages. Furthermore, we validate the theoretical model using large deflection finite element simulations of the bridge structure and conclude that the lowest order correction substantially improve the model, obtaining a level of accuracy expected to be sufficient for most applications. Finally, we derive the equations of motion for the lowest order corrected model and show how the coupling between the electromechanical properties and the geometry of the bridge structure introduces nonlinear interaction terms. © 2021, The Author(s).

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2021
Keywords
Computation theory, Enthalpy, Equations of motion, Nonlinear equations, Piezoelectricity, Electromechanical modeling, Electromechanical models, Electromechanical property, Euler-Bernoulli theory, Finite element simulations, Geometrical non-linearity, Nonlinear interactions, Variational approaches, Geometry
National Category
Computational Mathematics
Identifiers
urn:nbn:se:ri:diva-53479 (URN)10.1007/s40095-021-00395-z (DOI)2-s2.0-85106508334 (Scopus ID)
Note

Funding details: Horizon 2020 Framework Programme, H2020, 644378; Funding text 1: This work has received funding from The European Union’s Horizon 2020 research and innovation programme under grant agreement No 644378, Smart-Memphis project, and from internal funding of RISE Research Institutes of Sweden.

Available from: 2021-06-17 Created: 2021-06-17 Last updated: 2023-05-16Bibliographically approved
Pamfil, B., Palm, R., Vyas, A., Staaf, H., Rusu, C. & Folkow, P. D. (2021). Multi-Objective Design Optimization of Fractal-based Piezoelectric Energy Harvester. In: 2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS): . Paper presented at 2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS (pp. 96-99).
Open this publication in new window or tab >>Multi-Objective Design Optimization of Fractal-based Piezoelectric Energy Harvester
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2021 (English)In: 2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS), 2021, p. 96-99Conference paper, Published paper (Refereed)
Abstract [en]

This paper studies optimization solutions for a proof-of-concept design methodology for a fractal-based tree energy harvester with a stress distribution optimized structure. The focus is on obtaining a sufficiently high-power output and a high enough stress in the longitudinal branch direction by using Frequency Response Functions. The design methodology shows that using the MATLAB code with Sensitivity Analysis and Multi-objective Optimization in combination with elitist genetic algorithm enables an optimal design.

National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-68583 (URN)10.1109/PowerMEMS54003.2021.9658390 (DOI)
Conference
2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS
Available from: 2023-12-13 Created: 2023-12-13 Last updated: 2023-12-13Bibliographically approved
Castillejo, P., Johansen, G., Cürüklü, B., Bilbao-Arechabala, S., Fresco, R., Martínez-Rodríguez, B., . . . Häggman, J. (2020). Aggregate Farming in the Cloud: The AFarCloud ECSEL project. Microprocessors and microsystems, 78, Article ID 103218.
Open this publication in new window or tab >>Aggregate Farming in the Cloud: The AFarCloud ECSEL project
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2020 (English)In: Microprocessors and microsystems, ISSN 0141-9331, E-ISSN 1872-9436, Vol. 78, article id 103218Article in journal (Refereed) Published
Abstract [en]

Farming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate monitoring of soil and crop properties and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate Farming in the Cloud) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labor costs. Moreover, such a platform can be integrated with farm management software to support monitoring and decision-making solutions based on big data and real-time data mining techniques. © 2020 The Author(s)

Place, publisher, year, edition, pages
Elsevier B.V., 2020
Keywords
Autonomous and semi-autonomous vehicles, Autonomy and cooperation, Crop monitoring, Cyber-physical systems, Farming robots, Livestock management, Smart & precision farming, Aggregates, Agricultural robots, Animals, Cost effectiveness, Decision making, Embedded systems, Health risks, Productivity, Real time systems, Veterinary medicine, Wages, Animal health, Crop properties, Distributed platforms, Domain specific, Economic challenges, Farm management, Labor shortages, Real-time data mining, Data mining
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-46785 (URN)10.1016/j.micpro.2020.103218 (DOI)2-s2.0-85089063670 (Scopus ID)
Note

Funding details: Electronic Components and Systems for European Leadership, ECSEL, 783221; Funding text 1: A special thanks to all the AFarCloud consortium people that have worked on the AFarCloud proposal on which this paper is based on. The AFarCloud project is funded from the ECSEL Joint Undertaking under grant agreement n° 783221, and from several National funding agencies. It is worth noting some ECSEL projects that have provided background and/or reusable results taken into account in AFarCloud: MegaM@rt2 [34] , SafeCOP [35] , and AQUAS [36] .

Available from: 2020-08-24 Created: 2020-08-24 Last updated: 2023-05-16Bibliographically approved
Rusu, C., Bader, S., Oelmann, B., Alvandpour, A., Enoksson, P., Braun, T., . . . Liljeholm, J. (2019). Challenges for Miniaturised Energy Harvesting Sensor Systems. In: 2018 10th International Conference on Advanced Infocomm Technology, ICAIT 2018: . Paper presented at 10th International Conference on Advanced Infocomm Technology, ICAIT 2018, 12 August 2018 through 15 August 2018 (pp. 214-217). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Challenges for Miniaturised Energy Harvesting Sensor Systems
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2019 (English)In: 2018 10th International Conference on Advanced Infocomm Technology, ICAIT 2018, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 214-217Conference paper, Published paper (Refereed)
Abstract [en]

Harvesting ambient energy, as an alternative power source, tackles the increasing demand for future energy-efficient autonomous sensor systems, especially for applications requiring miniaturisation and distributed sensing such Wireless Sensors Network and Internet-of-Things. A functional energy harvesting system requires addressing simultaneously all the components of the system: the harvester device, the energy storage and the powering management circuits. These components are described through examples of miniaturized kinetic-based harvesting systems for low-power applications with focus on energy harvester, piezoelectric and electromagnetic, respectively.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2019
Keywords
autonomous sensor systems, kinetic harvester, miniaturised energy harvesting, piezoelectric harvester, RPM sensor, supercapacitor, variable reluctance, Energy efficiency, Magnetic storage, Piezoelectricity, Wireless sensor networks, Autonomous sensors, Distributed sensing, Energy harvesting sensors, Energy harvesting systems, Low power application, Wireless sensors networks, Energy harvesting
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-38923 (URN)10.1109/ICAIT.2018.8686695 (DOI)2-s2.0-85064729034 (Scopus ID)9781538679364 (ISBN)
Conference
10th International Conference on Advanced Infocomm Technology, ICAIT 2018, 12 August 2018 through 15 August 2018
Note

Funding details: Horizon 2020 Framework Programme, 644378; Funding details: 20140323; Funding text 1: The authors gratefully acknowledge financial support of the work from „Smart-Memphis‟ project under European Union‟s Horizon 2020 research and innovation programme (grant no. 644378), the Knowledge Foundation fund ASIS (no. 20140323) and the Sweden‟s Innovation Agency, Vinnova, grant Challenge-Driven Innovation „Energy Toolkit‟ (nr. 2017-03725).

Available from: 2019-06-10 Created: 2019-06-10 Last updated: 2023-05-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0459-1157

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