Search Results - (( development driving efficient algorithm ) OR ( java implication based algorithm ))
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Efficiency optimization of variable speed induction motor drive using online backpropagation
Published 2006“…Development of an efficiency optimization control for variable speed drive system is important not only from the viewpoints of energy saving but also from the broad perspective of greenhouse emission. …”
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Development of control algorithm for a new 12s-6p single phase field excited flux switching motor
Published 2020“…The main concern of this research is to design algorithms for starting and driving 12 slots and 6 poles (12S-6P) segmental rotor field excited flux switching motor (FEFSM) and evaluate the algorithms efficiency by analyzing motor’s dynamic performance in terms of torque and current consumption. …”
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…However, there are still issues remain to address such as increasing driving range and braking efficiency. Two GA based regenerative braking strategies are proposed in this study. …”
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Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
Published 2022“…Finally, in the safety efficiency analysis phase, we investigated the safety efficiency performance of the agent vehicle in both single-agent and multi-agent autonomous driving environments. …”
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Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
Published 2022“…Finally, in the safety efficiency analysis phase, we investigated the safety efficiency performance of the agent vehicle in both single-agent and multi-agent autonomous driving environments. …”
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Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot
Published 2018“…In this project, a collision avoidance strategy is designed and developed for a differential drive mobile robot, which is built using ATmega 328p microcontroller. …”
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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…The study also developed an algorithm for predictive EMS using fuzzy model predictive control technique based on regression algorithm. …”
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
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Multi-sources model and control algorithm of an energy management system
Published 2012“…This study’s results suggest that the proposed control algorithm provides an efficient and feasible EMS for LEV.…”
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An Energy Management of Light Electric Vehicle
Published 2013“…In this paper, a state-based logic control algorithm is developed for a multi-source EMS for light electric vehicle, i.e.…”
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Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems
Published 2025“…This project develops an AI-based anomaly detection system. In the field of autonomous driving, abnormal data will directly affect the safety of autonomous driving systems, especially in terms of abnormal camera sensor data. …”
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To develop an efficient variable speed compressor motor system
Published 2007“…This research presents a proposed new method of improving the energy efficiency of a Variable Speed Drive (VSD) for induction motors. …”
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Light Vehicle Energy Management System using Multi-Power Sources
Published 2012“…The control algorithm was developed as a switching mechanism used to trigger between the energy sources based on the drive of the vehicle power system as a means of examining the electrical power flow. …”
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Development Of Integrated Monitoring System For Re-Electric Vehicle
Published 2014“…The development of the system and its algorithm is described in this paper. …”
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Numerical investigation of the performance of interior permanent magnet synchronous motor drive / Shahida Pervin
Published 2014“…Recently, researchers developed FW control algorithms but often ignored the high precision computation of the algorithm. …”
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