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Showing 2 results for Masih Tehrani

M. Esfahanian, A. Mahmoodian, M. Amiri, M. Masih Tehrani, H. Nehzati, M. Hejabi, A. Manteghi,
Volume 3, Issue 4 (12-2013)
Abstract

In the present study, a model of a large Lithium Polymer (Li-Po) battery for use in the simulation of Hybrid Electric Vehicles (HEVs) is developed. To attain this goal, an Equivalent Circuit (EC) consisting of a series resistor and two RC parallel networks is considered. The accuracy and the response time of the model for use in an HEV simulator are studied. The battery parameters identification and model validation tests are performed in low current with a good accuracy. Similar test process is implemented in high current for another cell and the simulation is verified with experimental results. The validation tests confirm the accuracy of the model for use in HEV simulator. Finally, the battery model is used to model a Vehicle, Fuel and Environment Research Institute (VFERI) hybrid electric city bus using ADVISOR software and its compatibility with other components of the vehicle simulator are demonstrated in a drive cycle test.
Mr. Rahmatulah Karimipoor, Dr. Mansour Hakimelahi, Dr. Masoud Masih Tehrani,
Volume 16, Issue 2 (6-2026)
Abstract

In this study, the design and implementation of an intelligent path – finding robot capable of simultaneously following a predefined track and avoiding obstacles are presented. The main objective was to enhance the performance of mobile robots through the integration of data from infrared (IR) and ultrasonic sensors and by establishing precise coordination between control algorithms and hardware components. To achieve this, and Arduino Uno microcontroller was employed as the central processing unit, an L298N motor driver was used to regulate the speed and direction of the motors, and infrared sensor was utilized for line detection, and an ultrasonic sensor was incorporated for obstacle identification.
The system was first simulated in the Proteus software environment to verify the accuracy of the algorithms and the synchronization of components. Afterward, a physical prototype was constructed, and a series of practical experiments were conducted to evaluate its precision and efficiency. The results demonstrated that the designed robot could accurately follow the designated path and effectively adjust its trajectory when encountering obstacles, without significant deviation or delay. The discrepancy between the simulation and experimental data was found to be less than five percent, indicating strong coherence between the software and hardware. From and application standpoint, the developed robot can serve as a valuable tool in robotics education, internal transportation systems, and small – scale automation projects.
 

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