Тип публикации: статья из журнала

Год издания: 2024

Идентификатор DOI: 10.3390/wevj15020064

Ключевые слова: electric vehicle, lithium battery, performance characteristics, driving cycles, energy efficiency

Аннотация: <jats:p>Electric vehicles are the most innovative and promising area of the automotive industry. The efficiency of a traction battery is an important factor in the performance of an electric vehicle. This paper presents a mathematical model of an electric truck, including modules for the traction battery to determine the depth of bПоказать полностьюattery discharge during the operation of the electric truck, a traction electric system for the electric truck and a system for calculating traction forces on the shaft in electric motors. As a result of the modelling, the charging and discharging currents of an accumulator battery in a real cycle of movement in peak and nominal modes of operation in electric motors and at different voltages of the accumulator battery are determined. A functional scheme of a generalized model of the electric vehicle traction electrical equipment system is developed. An experimental battery charge degree, torques of asynchronous electric motors, temperature of electric motors and inverters, battery voltage and the speed of electric motors have been measured and analysed. The developed complex mathematical model of an electric vehicle including a traction battery, two inverters and two asynchronous electric motors integrated into an electric portal bridge allowed us to obtain and study the load parameters of the battery in real driving cycles. Data were verified by comparing simulation results with the data obtained during driving.</jats:p>

Журнал: World Electric Vehicle Journal

Выпуск журнала: Т. 15, № 2

Номера страниц: 64

ISSN журнала: 20326653

Издатель: AVERE

• Malozyomov Boris V. (Department of Electrotechnical Complexes, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)
• Martyushev Nikita V. (Scientific Department, Kh. Ibragimov Complex Institute of the Russian Academy of Sciences, 364906 Grozny, Russia)
• Kukartsev Vladislav V. (Department of Mathematics, Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Konyukhov Vladimir Yu. (Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia)
• Oparina Tatiana A. (Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia)
• Sevryugina Nadezhda S. (Technical Service of Machines and Equipment Department, Russian State Agrarian University-Moscow Timiryazev Agricultural Academy, Timiryazevskaya Str., 49, 127550 Moscow, Russia)
• Gozbenko Valeriy E. (Department of Mathematics, Irkutsk State Transport University, 664074 Irkutsk, Russia)
• Kondratiev Viktor V. (Laboratory of Geochemistry of Ore Formation and Geochemical Methods of Prospecting, A. P. Vinogradov Institute of Geochemistry of the Siberian Branch of the Russian Academy of Sciences, 664033 Irkutsk, Russia)

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