IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4631-d846936.html
   My bibliography  Save this article

The Concept of Using an Expert System and Multi-Valued Logic Trees to Assess the Energy Consumption of an Electric Car in Selected Driving Cycles

Author

Listed:
  • Adam Deptuła

    (Faculty of Production Engineering and Logistics, Opole University of Technology, 76 Prószkowska St., 45-758 Opole, Poland)

  • Andrzej Augustynowicz

    (Faculty of Production Engineering and Logistics, Opole University of Technology, 76 Prószkowska St., 45-758 Opole, Poland)

  • Michał Stosiak

    (Faculty of Mechanical Engineering, Wrocław University of Science and Technology, 7/9 Łukasiewicza St., 50-371 Wrocław, Poland)

  • Krzysztof Towarnicki

    (Faculty of Mechanical Engineering, Wrocław University of Science and Technology, 7/9 Łukasiewicza St., 50-371 Wrocław, Poland)

  • Mykola Karpenko

    (Faculty of Transport Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

This paper presents the concept of an expert system supporting the decision-making process of rational energy consumption by an electric car. The driving style and the average speed achieved are very important in terms of the driving range. In addition, the influence of ambient temperature on the efficiency of the electric vehicle and ultimately on energy consumption is very important. The proposed system, based on the method of multi-valued logic trees, allows minimizing the objective function, which is aimed at minimizing the energy consumption of an electric car at different ambient temperatures. The generated decisions, directed to the energy management system, can be processed in a variety of temporal and situational dimensions. The application of the system can also provide prompts to the driver on how to adjust the driving style by operating the accelerator and brake pedal. The expert system is an open system, allowing for further generalizations and modifications.

Suggested Citation

  • Adam Deptuła & Andrzej Augustynowicz & Michał Stosiak & Krzysztof Towarnicki & Mykola Karpenko, 2022. "The Concept of Using an Expert System and Multi-Valued Logic Trees to Assess the Energy Consumption of an Electric Car in Selected Driving Cycles," Energies, MDPI, vol. 15(13), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4631-:d:846936
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4631/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4631/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bandaru, Sunith & Aslam, Tehseen & Ng, Amos H.C. & Deb, Kalyanmoy, 2015. "Generalized higher-level automated innovization with application to inventory management," European Journal of Operational Research, Elsevier, vol. 243(2), pages 480-496.
    2. Chengfei Geng & Fengyou He & Jingwei Zhang & Hongsheng Hu, 2017. "Partial Stray Inductance Modeling and Measuring of Asymmetrical Parallel Branches on the Bus-Bar of Electric Vehicles," Energies, MDPI, vol. 10(10), pages 1-16, October.
    3. Kai Liu & Sijia Luo & Jing Zhou, 2020. "En-Route Battery Management and a Mixed Network Equilibrium Problem Based on Electric Vehicle Drivers’ En-Route Recharging Behaviors," Energies, MDPI, vol. 13(16), pages 1-14, August.
    4. Jacek Pielecha & Kinga Skobiej & Karolina Kurtyka, 2020. "Exhaust Emissions and Energy Consumption Analysis of Conventional, Hybrid, and Electric Vehicles in Real Driving Cycles," Energies, MDPI, vol. 13(23), pages 1-21, December.
    5. Nicola Campagna & Vincenzo Castiglia & Rosario Miceli & Rosa Anna Mastromauro & Ciro Spataro & Marco Trapanese & Fabio Viola, 2020. "Battery Models for Battery Powered Applications: A Comparative Study," Energies, MDPI, vol. 13(16), pages 1-26, August.
    6. Yu Miao & Patrick Hynan & Annette von Jouanne & Alexandre Yokochi, 2019. "Current Li-Ion Battery Technologies in Electric Vehicles and Opportunities for Advancements," Energies, MDPI, vol. 12(6), pages 1-20, March.
    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. Yossi Hadad & Baruch Keren & Dima Alberg, 2023. "An Expert System for Ranking and Matching Electric Vehicles to Customer Specifications and Requirements," Energies, MDPI, vol. 16(11), pages 1-18, May.

    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. Desreveaux, A. & Bouscayrol, A. & Trigui, R. & Hittinger, E. & Castex, E. & Sirbu, G.M., 2023. "Accurate energy consumption for comparison of climate change impact of thermal and electric vehicles," Energy, Elsevier, vol. 268(C).
    2. Anisa Surya Wijareni & Hendri Widiyandari & Agus Purwanto & Aditya Farhan Arif & Mohammad Zaki Mubarok, 2022. "Morphology and Particle Size of a Synthesized NMC 811 Cathode Precursor with Mixed Hydroxide Precipitate and Nickel Sulfate as Nickel Sources and Comparison of Their Electrochemical Performances in an," Energies, MDPI, vol. 15(16), pages 1-15, August.
    3. Alexandru Ciocan & Cosmin Ungureanu & Alin Chitu & Elena Carcadea & George Darie, 2020. "Electrical Longboard for Everyday Urban Commuting," Sustainability, MDPI, vol. 12(19), pages 1-14, September.
    4. Slavin Viktor & Shuba Yevheniy & Caban Jacek & Matijosius Jonas & Rimkus Alfredas & Korpach Anatolii & Gutarevych Serhiy, 2022. "The Performance of a Car with Various Engine Power Systems – Part II," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 13(1), pages 141-151, January.
    5. Li, Hai & Zheng, Peng & Zhang, Tingsheng & Zou, Yingquan & Pan, Yajia & Zhang, Zutao & Azam, Ali, 2021. "A high-efficiency energy regenerative shock absorber for powering auxiliary devices of new energy driverless buses," Applied Energy, Elsevier, vol. 295(C).
    6. Piotr Krawczyk & Anna Śliwińska, 2020. "Eco-Efficiency Assessment of the Application of Large-Scale Rechargeable Batteries in a Coal-Fired Power Plant," Energies, MDPI, vol. 13(6), pages 1-16, March.
    7. Jack E. N. Swallow & Michael W. Fraser & Nis-Julian H. Kneusels & Jodie F. Charlton & Christopher G. Sole & Conor M. E. Phelan & Erik Björklund & Peter Bencok & Carlos Escudero & Virginia Pérez-Dieste, 2022. "Revealing solid electrolyte interphase formation through interface-sensitive Operando X-ray absorption spectroscopy," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    8. González, L.G. & Cordero-Moreno, Daniel & Espinoza, J.L., 2021. "Public transportation with electric traction: Experiences and challenges in an Andean city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    9. Harika Dasari & Eric Eisenbraun, 2021. "Predicting Capacity Fade in Silicon Anode-Based Li-Ion Batteries," Energies, MDPI, vol. 14(5), pages 1-16, March.
    10. Sewon Kim & Ju-Sik Kim & Lincoln Miara & Yan Wang & Sung-Kyun Jung & Seong Yong Park & Zhen Song & Hyungsub Kim & Michael Badding & JaeMyung Chang & Victor Roev & Gabin Yoon & Ryounghee Kim & Jung-Hwa, 2022. "High-energy and durable lithium metal batteries using garnet-type solid electrolytes with tailored lithium-metal compatibility," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    11. Matteo Spiller & Giuliano Rancilio & Filippo Bovera & Giacomo Gorni & Stefano Mandelli & Federico Bresciani & Marco Merlo, 2023. "A Model-Aware Comprehensive Tool for Battery Energy Storage System Sizing," Energies, MDPI, vol. 16(18), pages 1-24, September.
    12. Michael Bohm & Josef Stetina & David Svida, 2022. "Exhaust Gas Temperature Pulsations of a Gasoline Engine and Its Stabilization Using Thermal Energy Storage System to Reduce Emissions," Energies, MDPI, vol. 15(7), pages 1-16, March.
    13. Manfred Dollinger & Gerhard Fischerauer, 2023. "Physics-Based Prediction for the Consumption and Emissions of Passenger Vehicles and Light Trucks up to 2050," Energies, MDPI, vol. 16(8), pages 1-29, April.
    14. Jacek Pielecha & Kinga Skobiej & Przemyslaw Kubiak & Marek Wozniak & Krzysztof Siczek, 2022. "Exhaust Emissions from Plug-in and HEV Vehicles in Type-Approval Tests and Real Driving Cycles," Energies, MDPI, vol. 15(7), pages 1-38, March.
    15. Mariusz Izdebski & Marianna Jacyna, 2021. "An Efficient Hybrid Algorithm for Energy Expenditure Estimation for Electric Vehicles in Urban Service Enterprises," Energies, MDPI, vol. 14(7), pages 1-23, April.
    16. Chi Zhang & Binyue Xu & Jasronita Jasni & Mohd Amran Mohd Radzi & Norhafiz Azis & Qi Zhang, 2023. "Three Voltage Vector Duty Cycle Optimization Strategy of the Permanent Magnet Synchronous Motor Driving System for New Energy Electric Vehicles Based on Finite Set Model Predictive Control," Energies, MDPI, vol. 16(6), pages 1-18, March.
    17. Wojciech Gis & Maciej Gis & Jacek Pielecha & Kinga Skobiej, 2021. "Alternative Exhaust Emission Factors from Vehicles in On-Road Driving Tests," Energies, MDPI, vol. 14(12), pages 1-23, June.
    18. Piotr Pryciński & Róża Wawryszczuk & Jarosław Korzeb & Piotr Pielecha, 2023. "Indicator Method for Determining the Emissivity of Road Transport Means from the Point of Supplied Energy," Energies, MDPI, vol. 16(12), pages 1-22, June.
    19. Artur Kozłowski & Łukasz Bołoz, 2021. "Design and Research on Power Systems and Algorithms for Controlling Electric Underground Mining Machines Powered by Batteries," Energies, MDPI, vol. 14(13), pages 1-21, July.
    20. Jemma J. Makrygiorgou & Antonio T. Alexandridis, 2019. "Power Electronic Control Design for Stable EV Motor and Battery Operation during a Route," Energies, MDPI, vol. 12(10), pages 1-21, May.

    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:15:y:2022:i:13:p:4631-:d:846936. 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.