This study considers existing methods of mathematical modeling of lithium-ion batteries based on the Shepherd formula, as well as using formulas from the general course of physics. In order to measure experimental data in automatic mode, a special measuring facility was developed, the main element of the setup is a programmable platform based on the ATmega328p microprocessor. It controls the process, measures the voltage on the battery and transmits data to the computer every 5 seconds via the UART interface of the microprocessor for further analysis. On the basis of the data obtained, an experimental dependence of the battery discharge by direct current over a certain peri-od of time was built. This was followed by a calculation of battery capacity. The load is 20 resistors connected in series-parallel, in order to dissipate the thermal power released on them when an electric current flows. Since the resistors are carbon with precision accuracy class, heating does not raise ambient temperature by more than 10 degrees. Thus any change in their resistance can be neglected. The values obtained were used to implement and test the mathematical model in the MATLAB/Simulink simulation environment. The test results showed the similarity of the obtained values with the ide-alized Shepherd model, since the standard deviation of all points from this model was 2.6%.
Aim: selection of a traction motor for electric freight transport operating in the Arctic. Methods: To achieve this aim, the main characteristics of existing types of DC and AC electric motors were considered, as well as data on the use of one or another type of motor in modern electric vehicle. Results: A comparative analysis of the most common motors has led to 2 main leaders - a permanent magnet synchronous motor (PMSM) and an induction motor (IM). Both types of motors are fully suitable for solving the aim. However, as it turned out later, PMSM is more often used for light vehicles, while IM in most cases is used for heavier vehicles. Conclusion: As a result of the analysis, it was decided that for electric transport operating in the Arctic, the best option is to use an induction motor as a traction motor.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.