IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v306y2022ipas0306261921013052.html
   My bibliography  Save this article

Technological evolution of internal combustion engine vehicle: A patent data analysis

Author

Listed:
  • Sinigaglia, Tiago
  • Eduardo Santos Martins, Mario
  • Cezar Mairesse Siluk, Julio

Abstract

Current mobility is highly dependent on fossil fuels which are the energy vectors of internal combustion engines, which power more than 99% of all road vehicles. In order to reduce pollutant emissions from ever growing urban centers, electric vehicles have emerged and their importance is growing steeply. However, these still face several problems regarding energy supply, storage and production, as well as life-cycle CO2 emissions. Nevertheless, there is a large fleet of vehicles with a vast majority of combustion-based power plants that need to be improved for a proper transition to total electrification. Therefore, it is essential that the remaining internal combustion engines become more efficient and sustainable energy conversion devices. For policy and business decision makers, understanding the trends of evolution is essential to making appropriate decisions. Thus, this study aimed at mapping the technological evolution of internal combustion engine and at understanding the main trends through patent data. The current stage of technological maturity was determined through a Logistics model, and the subtechnologies with the greatest potential for development and diffusion were analyzed. The search for the data was performed through Questel Orbit platform, in the United States Patent Trademark Office database. In 2018, internal combustion engine had a technological maturity rate of 81.77%. The subtechnologies that have the highest diffusion speed, among those compared, are: friction loss (32.14), water injection (21.05) and hybrid technology (20.88). It is forecast that internal combustion engines have approximately 27 years of estimated remaining time for saturation in the number of patent families.

Suggested Citation

  • Sinigaglia, Tiago & Eduardo Santos Martins, Mario & Cezar Mairesse Siluk, Julio, 2022. "Technological evolution of internal combustion engine vehicle: A patent data analysis," Applied Energy, Elsevier, vol. 306(PA).
    • Handle: RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921013052
    DOI: 10.1016/j.apenergy.2021.118003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921013052
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.118003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Komninos, N.P. & Rakopoulos, C.D., 2012. "Modeling HCCI combustion of biofuels: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1588-1610.
    2. Ozcan Saritas & Dirk Meissner & Alexander Sokolov, 2019. "A Transition Management Roadmap for Fuel Cell Electric Vehicles (FCEVs)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 1183-1203, September.
    3. Vanessa Oltra & Maïder Saint Jean, 2006. "Variety of technological trajectories in low emission vehicles (LEVs): a patent data analysis," Post-Print hal-00155042, HAL.
    4. Yuan, Xiaodong & Li, Xiaotao, 2021. "Mapping the technology diffusion of battery electric vehicle based on patent analysis: A perspective of global innovation systems," Energy, Elsevier, vol. 222(C).
    5. Yu-Jing Chiu & Tao-Ming Ying, 2012. "A Novel Method for Technology Forecasting and Developing R&D Strategy of Building Integrated Photovoltaic Technology Industry," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-24, July.
    6. Taylor, Alex M.K.P., 2008. "Science review of internal combustion engines," Energy Policy, Elsevier, vol. 36(12), pages 4657-4667, December.
    7. Rodica Niculescu & Adrian Clenci & Victor Iorga-Siman, 2019. "Review on the Use of Diesel–Biodiesel–Alcohol Blends in Compression Ignition Engines," Energies, MDPI, vol. 12(7), pages 1-41, March.
    8. René Lezama-Nicolás & Marisela Rodríguez-Salvador & Rosa Río-Belver & Iñaki Bildosola, 2018. "A bibliometric method for assessing technological maturity: the case of additive manufacturing," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1425-1452, December.
    9. Gao, Lidan & Porter, Alan L. & Wang, Jing & Fang, Shu & Zhang, Xian & Ma, Tingting & Wang, Wenping & Huang, Lu, 2013. "Technology life cycle analysis method based on patent documents," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 398-407.
    10. Yuan, Xiaodong & Cai, Yuchen, 2021. "Forecasting the development trend of low emission vehicle technologies: Based on patent data," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    11. Kalghatgi, Gautam, 2018. "Is it really the end of internal combustion engines and petroleum in transport?," Applied Energy, Elsevier, vol. 225(C), pages 965-974.
    12. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
    13. Zhang, Yi & Shang, Lining & Huang, Lu & Porter, Alan L. & Zhang, Guangquan & Lu, Jie & Zhu, Donghua, 2016. "A hybrid similarity measure method for patent portfolio analysis," Journal of Informetrics, Elsevier, vol. 10(4), pages 1108-1130.
    14. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    15. Ajanovic, Amela & Haas, Reinhard, 2016. "Dissemination of electric vehicles in urban areas: Major factors for success," Energy, Elsevier, vol. 115(P2), pages 1451-1458.
    16. Li, Wenbo & Long, Ruyin & Chen, Hong & Geng, Jichao, 2017. "A review of factors influencing consumer intentions to adopt battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 318-328.
    17. C. Gay & C. Le Bas & P. Patel & K. Touach, 2005. "The determinants of patent citations: an empirical analysis of French and British patents in the US," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 339-350.
    18. Shin, Jungwoo & Lee, Chul-Yong & Kim, Hongbum, 2016. "Technology and demand forecasting for carbon capture and storage technology in South Korea," Energy Policy, Elsevier, vol. 98(C), pages 1-11.
    19. Wolbertus, Rick & van den Hoed, Robert & Kroesen, Maarten & Chorus, Caspar, 2021. "Charging infrastructure roll-out strategies for large scale introduction of electric vehicles in urban areas: An agent-based simulation study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 262-285.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tipanluisa, Luis & Prati, Maria Vittoria & Costagliola, Maria Antonietta, 2024. "Impact of diesel/renewable fuels blend on gaseous and particle emissions of a light-duty vehicle under real driving emissions," Renewable Energy, Elsevier, vol. 230(C).
    2. Chen, Yong & Lu, Zhiyuan & Liu, Heng & Wang, Hu & Zheng, Zunqing & Wang, Changhui & Sun, Xingyu & Xu, Linxun & Yao, Mingfa, 2024. "Machine learning-based design of target property-oriented fuels using explainable artificial intelligence," Energy, Elsevier, vol. 300(C).
    3. A. H. Samitha Weerakoon & Mohsen Assadi, 2024. "Micro Gas Turbines in the Global Energy Landscape: Bridging the Techno-Economic Gap with Comparative and Adaptive Insights from Internal Combustion Engines and Renewable Energy Sources," Energies, MDPI, vol. 17(21), pages 1-31, October.
    4. Natalia Wagner, 2023. "Inventive Activity for Climate Change Mitigation: An Insight into the Maritime Industry," Energies, MDPI, vol. 16(21), pages 1-23, November.
    5. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    6. Tilocca, Giuseppe & Sánchez, David & Torres-García, Miguel, 2024. "Applying the root cause analysis methodology to study the lack of market success of micro gas turbine systems," Applied Energy, Elsevier, vol. 360(C).
    7. Tilocca, Giuseppe & Sánchez, David & Torres-García, Miguel, 2023. "Application of the theory of constraints to unveil the root causes of the limited market penetration of micro gas turbine systems," Energy, Elsevier, vol. 278(C).

    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. Yuan, Xiaodong & Cai, Yuchen, 2021. "Forecasting the development trend of low emission vehicle technologies: Based on patent data," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    2. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
    4. Altuntas, Serkan & Dereli, Turkay & Kusiak, Andrew, 2015. "Analysis of patent documents with weighted association rules," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 249-262.
    5. Mohammad Dehghani Madvar & Hossein Khosropour & Abdollah Khosravanian & Maryam Mirafshar & Morteza Rezapour & Behrouz Nouri, 2016. "Patent-Based Technology Life Cycle Analysis: The Case of the Petroleum Industry," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(4), pages 72-79.
    6. Li, Xiaotao & Yuan, Xiaodong, 2022. "Tracing the technology transfer of battery electric vehicles in China: A patent citation organization network analysis," Energy, Elsevier, vol. 239(PD).
    7. Ahmad, Zeeshan & Kaario, Ossi & Qiang, Cheng & Vuorinen, Ville & Larmi, Martti, 2019. "A parametric investigation of diesel/methane dual-fuel combustion progression/stages in a heavy-duty optical engine," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Bonnin Roca, Jaime, 2022. "Teaching technological forecasting to undergraduate students: a reflection on challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. André Souza Oliveira & Raphael Oliveira dos Santos & Bruno Caetano dos Santos Silva & Lilian Lefol Nani Guarieiro & Matthias Angerhausen & Uwe Reisgen & Renelson Ribeiro Sampaio & Bruna Aparecida Souz, 2021. "A Detailed Forecast of the Technologies Based on Lifecycle Analysis of GMAW and CMT Welding Processes," Sustainability, MDPI, vol. 13(7), pages 1-23, March.
    10. Grimaldi, Michele & Cricelli, Livio & Di Giovanni, Martina & Rogo, Francesco, 2015. "The patent portfolio value analysis: A new framework to leverage patent information for strategic technology planning," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 286-302.
    11. Trencher, Gregory & Taeihagh, Araz & Yarime, Masaru, 2020. "Overcoming barriers to developing and diffusing fuel-cell vehicles: Governance strategies and experiences in Japan," Energy Policy, Elsevier, vol. 142(C).
    12. Sungchul Kim & Dongsik Jang & Sunghae Jun & Sangsung Park, 2015. "A Novel Forecasting Methodology for Sustainable Management of Defense Technology," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    13. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    14. Xi, Xi & Ren, Feifei & Yu, Lean & Yang, Jing, 2023. "Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    15. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    16. Gregory Trencher & Achmed Edianto, 2021. "Drivers and Barriers to the Adoption of Fuel Cell Passenger Vehicles and Buses in Germany," Energies, MDPI, vol. 14(4), pages 1-26, February.
    17. Patyal, Vishal Singh & Kumar, Ravi & Kushwah, Shiksha, 2021. "Modeling barriers to the adoption of electric vehicles: An Indian perspective," Energy, Elsevier, vol. 237(C).
    18. Yuan, Yuxin & Yuan, Xiaodong, 2023. "Does the development of fuel cell electric vehicles be reviving or recessional? Based on the patent analysis," Energy, Elsevier, vol. 272(C).
    19. van der Vooren & Eric Brouillat, 2013. "Evaluating CO2 reduction policy portfolios in the automotive sector," Innovation Studies Utrecht (ISU) working paper series 13-01, Utrecht University, Department of Innovation Studies, revised Feb 2013.
    20. Koopo Kwon & Sungchan Jun & Yong-Jae Lee & Sanghei Choi & Chulung Lee, 2022. "Logistics Technology Forecasting Framework Using Patent Analysis for Technology Roadmap," Sustainability, MDPI, vol. 14(9), pages 1-30, April.

    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:eee:appene:v:306:y:2022:i:pa:s0306261921013052. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.