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You searched for subject:(solar idle reduction). One record found.

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1. Hosseini, Seyedmohammad. Designing Intelligent Energy Management and Cost-effective Data Acquisition for Vehicular Solar Idle Reduction Systems.

Degree: 2019, University of Waterloo

In this study, an innovative energy management system (EMS) employing the promising reinforcement learning (RL) method is proposed. The EMS intelligently administrates the power flow between the main battery which is fed through the alternator and a solar-powered auxiliary battery which is used for the vehicle idle time reduction via providing energy for auxiliary loads which force the engine to be running, although the service vehicle is stopped. RL, which is an exquisite artificial intelligence technique, endeavors to offer a sub-optimal performance for this control problem compared to the really time consuming Dynamic Programming approach, which determines the optimal solution through exhaustive search. A service vehicle is modeled in the Matlab/Simulink environment. Different parts of the model are described in detail, and the dynamics of the considered vehicle are discussed. The simulation results express a better functionality compared to an existing rule-based controller and the idled engine case, turning the proposed RL-based EMS into an effective method for implementation in vehicular solar idle reduction (SIR) systems. Double DQN is also utilized to come up with the continuous observation space. The results are showing that Deep-RL can be a promising method in control tasks like the EMS of vehicular systems. Furthermore, a cost-effective and efficient data acquisition system is designed, tested, and implemented using the renowned Raspberry Pi board, and some sensors to collect voltage, current, and temperature data. The required electrical enclosures are also designed to keep the whole package safe. The validation of the system results is done and the process is discussed in detail. This data acquisition system can be employed to read the required information from vehicle and its loads, in order that the intelligent EMS system can wisely decide which action to take in a real-time manner.

Subjects/Keywords: energy management system; reinforcement learning; solar idle reduction; data acquisition; deep learning; global warming; service vehicles; auxiliary loads; hybrid vehicles

…electricity. Solar Idle Reduction (SIR) is the name we give to this technique. 1 To… …solar idle reduction (SIR) system has been installed on some service vehicles. The… …more these days. Solar idle reduction is a method that can introduce fuel savings as well as… …are referred to as idle reduction, or anti-idling [5]. These solutions are taken… …Idle reduction” refers to technologies and practices aiming at minimizing the accumulated… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hosseini, S. (2019). Designing Intelligent Energy Management and Cost-effective Data Acquisition for Vehicular Solar Idle Reduction Systems. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15135

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hosseini, Seyedmohammad. “Designing Intelligent Energy Management and Cost-effective Data Acquisition for Vehicular Solar Idle Reduction Systems.” 2019. Thesis, University of Waterloo. Accessed July 14, 2020. http://hdl.handle.net/10012/15135.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hosseini, Seyedmohammad. “Designing Intelligent Energy Management and Cost-effective Data Acquisition for Vehicular Solar Idle Reduction Systems.” 2019. Web. 14 Jul 2020.

Vancouver:

Hosseini S. Designing Intelligent Energy Management and Cost-effective Data Acquisition for Vehicular Solar Idle Reduction Systems. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10012/15135.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hosseini S. Designing Intelligent Energy Management and Cost-effective Data Acquisition for Vehicular Solar Idle Reduction Systems. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/15135

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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