IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i24p8060-d1300069.html
   My bibliography  Save this article

An Overview of Energies Problems in Robotic Systems

Author

Listed:
  • József Vásárhelyi

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    These authors contributed equally to this work.)

  • Omar M. Salih

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    Department of Computer Engineering, Technical College, Northern Technical University, Mosul 410002, Iraq
    These authors contributed equally to this work.)

  • Hussam Mahmod Rostum

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    These authors contributed equally to this work.)

  • Rabab Benotsname

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    These authors contributed equally to this work.)

Abstract

Considering the current world trends, the most challenging issue industry is facing revolves around how to reduce the power consumption of electronic systems. Since the invention of computers, electrical energy consumption has increased dramatically; this is due to the emergence of new systems in industry. Systems like industrial robots and autonomous vehicles—including electric vehicles (EVs) and unmanned aerial vehicles (UAVs)—have had a great impact in making human life easier but have also led to higher energy consumption. At present, researchers and developers are actively seeking solutions and patents to optimize the energy consumption of the mentioned systems and generate savings, with the goal of reducing their environmental impact and improving their efficiency and effectiveness. From the literature review, papers related to energy optimization and energy consumption are considered vital, and a huge number of research publications and survey papers discuss it. This paper presents a systematic review of the classification and analysis of various methodologies and solutions that have been developed to enhance the energy performance of robotic systems, focusing on industrial robots, autonomous vehicles, and embedded systems. The aim of this research is to provide a reference point for the existing methods, techniques, and technologies that are available. It compares and evaluates different hardware and software methods related to industrial robots, autonomous vehicles, and embedded systems, highlighting the possible future perspectives in the field.

Suggested Citation

  • József Vásárhelyi & Omar M. Salih & Hussam Mahmod Rostum & Rabab Benotsname, 2023. "An Overview of Energies Problems in Robotic Systems," Energies, MDPI, vol. 16(24), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8060-:d:1300069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/24/8060/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/24/8060/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giuseppe Aiello & Rosalinda Inguanta & Giusj D’Angelo & Mario Venticinque, 2021. "Energy Consumption Model of Aerial Urban Logistic Infrastructures," Energies, MDPI, vol. 14(18), pages 1-19, September.
    2. Machura, Philip & Li, Quan, 2019. "A critical review on wireless charging for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 209-234.
    3. Mokesioluwa Fanoro & Mladen Božanić & Saurabh Sinha, 2022. "A Review of the Impact of Battery Degradation on Energy Management Systems with a Special Emphasis on Electric Vehicles," Energies, MDPI, vol. 15(16), pages 1-29, August.
    4. Ying He & Jiangping Mei & Zhiwei Fang & Fan Zhang & Yanqin Zhao, 2018. "Minimum Energy Trajectory Optimization for Driving Systems of Palletizing Robot Joints," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-26, December.
    5. Xu, Yanzhi & Li, Hanyan & Liu, Haobing & Rodgers, Michael O. & Guensler, Randall L., 2017. "Eco-driving for transit: An effective strategy to conserve fuel and emissions," Applied Energy, Elsevier, vol. 194(C), pages 784-797.
    6. Klaus Rheinberger & Peter Kepplinger & Markus Preißinger, 2021. "Flexibility Control in Autonomous Demand Response by Optimal Power Tracking," Energies, MDPI, vol. 14(12), pages 1-14, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
    3. Wang, Kai & Peng, Jinqing & Li, Sihui & Li, Houpei & Zou, Bin & Ma, Tao & Ji, Jie, 2024. "Compressor speed control for optimizing energy matching of PV-driven AC systems during the cooling season," Energy, Elsevier, vol. 298(C).
    4. Guensler, Randall & Liu, Haobing & Xu, Xiaodan & Lu, Hongyu & Rodgers, Michael O., 2018. "MOVES-Matrix for High-Performance Emission Rate Model Applications," Institute of Transportation Studies, Working Paper Series qt3xp5z35t, Institute of Transportation Studies, UC Davis.
    5. Panagiotis Fafoutellis & Eleni G. Mantouka & Eleni I. Vlahogianni, 2020. "Eco-Driving and Its Impacts on Fuel Efficiency: An Overview of Technologies and Data-Driven Methods," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    6. Soares, Laura & Wang, Hao, 2022. "A study on renewed perspectives of electrified road for wireless power transfer of electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    7. Yutao Chen & Nazar Rozkvas & Mircea Lazar, 2020. "Driving Mode Optimization for Hybrid Trucks Using Road and Traffic Preview Data," Energies, MDPI, vol. 13(20), pages 1-18, October.
    8. Fafoutellis, Panagiotis & Mantouka, Eleni G. & Vlahogianni, Eleni I., 2022. "Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 270-284.
    9. Freitas Gomes, Icaro Silvestre & Perez, Yannick & Suomalainen, Emilia, 2020. "Coupling small batteries and PV generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    10. Obu Samson Showers & Sunetra Chowdhury, 2024. "Enhancing Energy Supply Reliability for University Lecture Halls Using Photovoltaic-Battery Microgrids: A South African Case Study," Energies, MDPI, vol. 17(13), pages 1-26, June.
    11. Guan Wang & Jintao Lai & Zhexi Lian & Zhen Zhang, 2023. "An Eco-Driving Strategy Considering Phase-Switch-Based Bus Lane Sharing," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    12. Tang, Tie-Qiao & Yi, Zhi-Yan & Zhang, Jian & Wang, Tao & Leng, Jun-Qiang, 2018. "A speed guidance strategy for multiple signalized intersections based on car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 399-409.
    13. Zhang, Yachao & Xie, Shiwei & Shu, Shengwen, 2022. "Multi-stage robust optimization of a multi-energy coupled system considering multiple uncertainties," Energy, Elsevier, vol. 238(PC).
    14. Stanisław Iwan & Mariusz Nürnberg & Artur Bejger & Kinga Kijewska & Krzysztof Małecki, 2021. "Unloading Bays as Charging Stations for EFV-Based Urban Freight Delivery System—Example of Szczecin," Energies, MDPI, vol. 14(18), pages 1-22, September.
    15. Konstantina Dimitriadou & Nick Rigogiannis & Symeon Fountoukidis & Faidra Kotarela & Anastasios Kyritsis & Nick Papanikolaou, 2023. "Current Trends in Electric Vehicle Charging Infrastructure; Opportunities and Challenges in Wireless Charging Integration," Energies, MDPI, vol. 16(4), pages 1-28, February.
    16. Blanka Tundys & Tomasz Wiśniewski, 2023. "Smart Mobility for Smart Cities—Electromobility Solution Analysis and Development Directions," Energies, MDPI, vol. 16(4), pages 1-20, February.
    17. Guo, Cong & Fu, Chunyun & Luo, Ronghua & Yang, Guanlong, 2022. "Energy-oriented car-following control for a front- and rear-independent-drive electric vehicle platoon," Energy, Elsevier, vol. 257(C).
    18. Dong, Haoxuan & Zhuang, Weichao & Chen, Boli & Wang, Yan & Lu, Yanbo & Liu, Ying & Xu, Liwei & Yin, Guodong, 2022. "A comparative study of energy-efficient driving strategy for connected internal combustion engine and electric vehicles at signalized intersections," Applied Energy, Elsevier, vol. 310(C).
    19. Rabab Benotsmane & György Kovács, 2023. "Optimization of Energy Consumption of Industrial Robots Using Classical PID and MPC Controllers," Energies, MDPI, vol. 16(8), pages 1-28, April.
    20. Benitto Albert Rayan & Umashankar Subramaniam & S. Balamurugan, 2023. "Wireless Power Transfer in Electric Vehicles: A Review on Compensation Topologies, Coil Structures, and Safety Aspects," Energies, MDPI, vol. 16(7), pages 1-46, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8060-:d:1300069. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.