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Showing 3 results for Electric Vehicle
Meysam Azamian Jazi, Dr. Mohammadali Abbasian,
Volume 11, Issue 2 (9-2022)
Abstract
At present, the design and optimization of electric machines for use in electric vehicles has been fundamentally considered. The motors required for electric trucks must have a power of more than 160 kW. These types of motors are usually made of permanent magnet synchronous machine. Due to the high size of this machine at very high powers, it is necessary to use a large volume of permanent magnets in these machines. Due to the high cost of permanent magnets and their production from rare earth materials, the use of non-magnet electric machines is a better option. But its torque is less than that of a permanent magnet machine. Therefore, designing new models of switched reluctance machines is necessary for the use of electric trucks. In this paper, a four-phase induction switched reluctance machine with a power of 160 kW is introduced for the use of electric trucks and its performance is evaluated. The innovation is based on the placement of coils on the rotor to shorten the path of the magnetic flux in the rotor core and stator of the electric motor. As a result, a high torque is produced. After the introduction of the machine, using the finite element method, its torque in different currents is calculated and efficiency is calculated.
Saeed Siahkolaei, Dr. Mohammad Tabrizian, Hamidreza Shahmirzad,
Volume 11, Issue 4 (3-2023)
Abstract
Today, electric vehicles have been significantly considered due to the lack of air pollution. However, due to the large volume of vehicles in the city, connecting them to the distribution network without a control program may cause congestion in the network lines and substations. Therefore, a bi-level hierarchical method for connecting electric vehicles to the distribution network to coordinate services and performance constraints of the three main elements, namely fleet operator, distribution system operator, and capacity market operator in the presence of vehicle owners and taking into account driving requirements, charging and compaction costs of power lines and transformers are recommended. In this method, first car owners and fleet operators present their charging program to the distribution system operator according to the predicted market prices. In the next step, if this charging program leads to congestion in the lines or substations and power transformers, it is returned to the fleet operators and the shadow price is determined by the capacity market operator based on the congestion status. Then the new charging program is dispatch according to the new market prices. The proposed method is implemented in a sample distribution network and the simulation results show the efficiency of the proposed method.
Seyed Saeed Abdollahi Khou, Dr. Javad Olamaee, Dr. S. Mohammad Hassan Hosseini,
Volume 12, Issue 4 (2-2024)
Abstract
accurate estimation of the state of charge of a battery not only for optimal energy management (OEM) in electric vehicles (EVs) and smart power grids, but also necessary to protect the battery from going into deep discharge or overcharge conditions and thus reducing battery life. These conditions may even create potentially dangerous conditions in terms of battery explosion. Despite the great importance of the state of charge parameter, this parameter cannot be measured directly from the battery terminals. Among many functions, the battery management system (BMS) needs a method to estimate the state of charge and determine the health status of the electric vehicle battery. In this research, first, the electric equivalent circuit model is simulated in MATLAB environment with RC network. This model has the advantage of providing a quick test to extract the parameters and dynamic characteristics of the battery model. Using the extended Kalman filter (EKF) to estimate the state of charge and several methods to estimate the state of health of the battery of the considered electric vehicle, it has been investigated and the simulation results have been shown.
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