Innovative approach to electric vehicle diagnostics

Electromobility is associated with the ever faster development and introduction of new electric vehicles to the market. They use an electric motor to drive the wheels of the vehicle and the necessary electricity is stored in traction batteries. Electric vehicles have a different construction than traditional vehicles i.e. those powered by internal combustion engines. For this reason, the manner of use, maintenance and service are different. Familiarization with selected operational issues of electric vehicles positively affects the reliability of their use as well as safety and comfort of driving. An important component of electric vehicles is the traction battery. Its proper operation influences the long-term preservation of the initial energy capacity and, thus, the range of the vehicle. The article presents tests of the state of traction batteries of a small electrically powered city vehicle. The vehicle, the batteries and the diagnostic devices used to assess the condition of the battery are described in detail. Based on the literature analysis and the observation of market trends, a fast and effective method of assessment of the technical condition of batteries in electric vehicles is proposed. The method has been tested on the selected vehicle. The technical condition of the battery in the vehicle was assessed after 4.5 years of operation and 30,000 km mileage.

[1]  František Synák,et al.  Ways of reducing carbon dioxide from road transport , 2019, The Archives of Automotive Engineering – Archiwum Motoryzacji.

[2]  Wolfgang Habla,et al.  Electric and conventional vehicle usage in private and car sharing fleets in Germany , 2021 .

[3]  S. Goel,et al.  Design optimization of permanent magnet synchronous motor using Taguchi method and experimental validation , 2020, International Journal of Emerging Electric Power Systems.

[4]  Grzegorz Litak,et al.  Modeling method embedded into diagnostics, reliability and maintenance - models as knowledge representation systems , 2017, 2017 Second International Conference on Reliability Systems Engineering (ICRSE).

[5]  Hormoz Marzbani,et al.  Improvement of the Autodriver Algorithm for Autonomous Vehicles Using Roll Dynamics , 2021 .

[7]  J. Caban Study of eco-driving possibilities in passenger car used in urban traffic , 2021, The Archives of Automotive Engineering – Archiwum Motoryzacji.

[8]  Petronilla Fragiacomo,et al.  Insights for Industry 4.0 Applications into a Hydrogen Advanced Mobility , 2020, Procedia Manufacturing.

[9]  Zhenpo Wang,et al.  Lithium-ion batteries fault diagnostic for electric vehicles using sample entropy analysis method , 2020 .

[10]  Jacek Caban,et al.  Charging electric cars as a way to increase the use of energy produced from RES , 2020 .

[11]  G. D. Foggia Drivers and challenges of electric vehicles integration in corporate fleet: An empirical survey , 2021, Research in Transportation Business & Management.

[12]  Fangming Jiang,et al.  The electric vehicle energy management: An overview of the energy system and related modeling and simulation , 2021, Renewable and Sustainable Energy Reviews.

[13]  Wolfgang Rid,et al.  Modelling noise reductions using electric buses in urban traffic. A case study from Stuttgart, Germany. , 2019, Transportation Research Procedia.

[14]  Patrick Jochem,et al.  Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets , 2021, Applied Energy.

[15]  Rajalakshmi Subramaniam,et al.  Design and modeling of an electric vehicle for facilitating door delivery of online orders , 2021 .

[16]  S. Funke,et al.  Fast charging infrastructure for electric vehicles: Today’s situation and future needs , 2018, Transportation Research Part D: Transport and Environment.

[17]  Overview of the method and state of hydrogenization of road transport in the world and the resulting development prospects in Poland , 2021, Open Engineering.

[18]  Martin Mruzek,et al.  The Possibilities of Increasing the Electric Vehicle Range , 2017 .

[19]  J. Kaldellis,et al.  Solar energy contribution to an electric vehicle needs on the basis of long-term measurements , 2018 .

[20]  A. Erd,et al.  Main design guidelines for battery management systems for traction purposes , 2018, 2018 XI International Science-Technical Conference Automotive Safety.

[21]  Olabanji Olumuyiwa Asekun,et al.  The effect of fuel on the energy consumption and production of greenhouse gases in transport , 2018, The Archives of Automotive Engineering – Archiwum Motoryzacji.

[22]  Shripad T. Revankar,et al.  Development scheme and key technology of an electric vehicle: An overview , 2017 .

[23]  Martin Wietschel,et al.  Consumer preferences for public charging infrastructure for electric vehicles , 2019, Transport Policy.

[24]  Solomon F. Brown,et al.  Social & locational impacts on electric vehicle ownership and charging profiles , 2021 .

[25]  Wolf Fichtner,et al.  Two-stage stochastic optimization for cost-minimal charging of electric vehicles at public charging stations with photovoltaics , 2019, Applied Energy.

[26]  Peijie Lin,et al.  Fault diagnosis of PV array using adaptive network based fuzzy inference system , 2020, IOP Conference Series: Earth and Environmental Science.

[27]  Siva Ramakrishna Madeti,et al.  Monitoring system for photovoltaic plants: A review , 2017 .

[28]  Tomasz Stańczyk,et al.  Technological and organisational challenges for e-mobility , 2019, The Archives of Automotive Engineering – Archiwum Motoryzacji.

[30]  Jack Brouwer,et al.  Dynamics of an integrated solar photovoltaic and battery storage nanogrid for electric vehicle charging , 2018, Journal of Power Sources.

[31]  Xuning Feng,et al.  Lithium-ion battery fast charging: A review , 2019, eTransportation.

[32]  Kari Tammi,et al.  Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions , 2019, Energy.

[33]  P. Łagowski The Effect of Biofuel on the Emission of Exhaust Gas from an Engine with the Common Rail System , 2021, The Archives of Automotive Engineering – Archiwum Motoryzacji.

[34]  Marialisa Nigro,et al.  The Impact of Electric Mobility Scenarios in Large Urban Areas: The Rome Case Study , 2018, IEEE Transactions on Intelligent Transportation Systems.

[35]  Solomon Brown,et al.  Machine learning approach for electric vehicle availability forecast to provide vehicle-to-home services , 2021 .

[36]  P. Daszkiewicz,et al.  Possibility of reducing CO2 emissions for example electric vehicles , 2014 .

[37]  R. Taccani,et al.  Long-term test of an electric vehicle charged from a photovoltaic carport , 2019, The Archives of Automotive Engineering – Archiwum Motoryzacji.

[38]  Ahmed Nait-Sidi-Moh,et al.  A Prediction Model of Electric Vehicle Charging Requests , 2018, EUSPN/ICTH.

[39]  Enrique Rosales-Asensio,et al.  Electric vehicle charging strategy to support renewable energy sources in Europe 2050 low-carbon scenario , 2019, Energy.

[40]  Michael Q. Wang,et al.  Taking into account greenhouse gas emissions of electric vehicles for transportation de-carbonization , 2021 .

[41]  Hasan Mehrjerdi,et al.  Off-grid solar powered charging station for electric and hydrogen vehicles including fuel cell and hydrogen storage , 2019, International Journal of Hydrogen Energy.

[42]  Semida Silveira,et al.  The role of charging technologies in upscaling the use of electric buses in public transport: Experiences from demonstration projects , 2018, Transportation Research Part A: Policy and Practice.

[43]  Hanna L. Breetz,et al.  Who saves money buying electric vehicles? Heterogeneity in total cost of ownership , 2021, Transportation Research Part D: Transport and Environment.

[44]  Jianqiu Li,et al.  Impact of high-power charging on the durability and safety of lithium batteries used in long-range battery electric vehicles , 2019 .