Relevant bibliographies by topics / MATLAB/ADVISOR

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'MATLAB/ADVISOR'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "MATLAB/ADVISOR"

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Aakula, Harika. "Performance Analysis and Modelling of Electric Vehicle using MATLAB/ADVISOR." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2293–310. http://dx.doi.org/10.22214/ijraset.2021.35492.

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The designing of Electric vehicles has gain higher importance in the entire world. It is important to model and design the vehicle for evaluating the prototype. The paper gives basic simulation of Electric vehicle in Type 2 configuration using MATLAB Simulink software. The analysis of different types of Electric vehicles has been done using ADVISOR. Through analysis few conclusions have been made regarding the performance of Electric vehicles.
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Zhang, Zheng Zhong. "Dynamic Simulation of Electric Automobile Drive Motor Based on ADVISOR." Applied Mechanics and Materials 416-417 (September 2013): 735–38. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.735.

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In the new era, automobile manufacturing industry technology is increasingly mature, and some high techs begin to be integrated in the study of electric automobile performance. Dynamic simulation and imitation technology is important in development of new enterprises. ADVISOR is a series of model subordinate to MATLAB and SIMULINK software environment, and data and script files are high-quality vehicle simulation software developed in MATLAB and SIMULINK software environment. The thesis first of all gives an introduction to the development status of electric automobile, based on which the appl
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Biroš, Milan, Karol Karol, and Karol Karol. "Optimization of Hybrid Vehicle Drivetrain with Genetic Algorithm using Matlab and Advisor." Journal of Engineering Science and Technology Review 10, no. 3 (2017): 35–40. http://dx.doi.org/10.25103/jestr.103.06.

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Matheson, P. L., and J. S. Stecki. "Optimisation of a hybrid diesel-hydraulic automotive powertrain using ADVISOR, Matlab and Simulink." Australian Journal of Mechanical Engineering 2, no. 1 (2005): 43–50. http://dx.doi.org/10.1080/14484846.2005.11464479.

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Norbakyah, J. S., and A. R. Salisa. "A Study on PHERB Powertrain Modeling and Analysis." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (2018): 1822. http://dx.doi.org/10.11591/ijece.v8i3.pp1822-1829.

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A study on plug-in hybrid electric recreational boat (PHERB) powertrain with a special energy management strategy modeling and analysis was presented in this paper. Firstly, the boat components are sized to meet the expected power and energy requirements through a power flow analysis. Then, the model is tested numerically in the MATLAB/SIMULINK environment using the existing driving cycle. The accuracy of the model is verified by a comparison of the component between the simulation results from PHERB and advanced vehicle simulator (ADVISOR) software. The simulation results of component, fuel e
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Norbakyah, J. S., and A. R. Salisa. "A comparative study of simulation results between PHERB, ADVISOR and AUTONOMIE models." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (2021): 1083. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp1083-1093.

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In this research, a new model development and innovation of conventional boat named plug-in hybrid electric recreational boat (PHERB) was introduced to overcome the fuel economy nowadays. This paper focus on the comparison simulation results of PHERB with advanced vehicle simulator (ADVISOR) and an automotive simulation and analysis tool (AUTONOMIE) models in terms of electric machine, energy system storage, propeller and boat model. The model of the PHERB is consequent and applied mathematically in the MATLAB/SIMULINK environment to study its functioning performance. Besides that, fuel econom
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J., S. Norbakyah, and R. Salisa A. "A comparative study of simulation results between PHERB, ADVISOR and AUTONOMIE models." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 2 (2021): 1083–93. https://doi.org/10.11591/ijpeds.v12.i2.pp1083-1093.

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In this research, a new model development and innovation of conventional boat named plug-in hybrid electric recreational boat (PHERB) was introduced to overcome the fuel economy nowadays. This paper focus on the comparison simulation results of PHERB with advanced vehicle simulator (ADVISOR) and an automotive simulation and analysis tool (AUTONOMIE) models in terms of electric machine, energy system storage, propeller and boat model. The model of the PHERB is consequent and applied mathematically in the MATLAB/Simulink environment to study its functioning performance. Besides that, fuel econom
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Abhi, Ram K., and Srinivaas A. "Sensitivity of Design Parameters on State of Charge of Electric Vehicles." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 11 (2020): 127–29. https://doi.org/10.5281/zenodo.5853570.

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This study is to find out how sensitively the design parameters of Electric Vehicle (EV) will affect the State Of Charge (SOC) it. The main design parameters that selected are the frontal area of the vehicle, vehicle mass and coefficient of drag. With the help of Advisor software MatLab model of EV s made. The vehicle model is run in different universally accepted driving cycles with different values of design parameters selected. The analysis is done using the sensitivity analysis method, which will show how one parameter is affecting others.
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N.Abdul hussain, Zahraa, Basil Sh.Munahi, and Abdul baki K.Ali. "Particle Swarm Optimization for Control Strategy of Hybrid Electric Vehicles." University of Thi-Qar Journal for Engineering Sciences 11, no. 1 (2020): 97–109. http://dx.doi.org/10.31663/tqujes.11.1.386(2020).

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This paper presents a particle swarm optimization algorithm (PSO) as a control strategy for the offline driving cycle to obtain the best torque distribution between the two sources: internal combustion engine (ICE) and the electric motor (EM). The purpose to minimize the fuel consumption, emissions, and maximize the state of charge of the battery for the model of power-split hybrid electric vehicles (PSHEV), while the requirements of the driving performance considered as constraints. The control strategy has been applied for the UDDS driving cycle under the Matlab Simulink software environment
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Anbaran, Sajjad Abdollahzadeh, Nik Rumzi Nik Idris, Mohd Junaidi Abdul Aziz, and Tole Sutikno. "Design and simulation of a TTRH-EV supervisory controller for a proton SAGA 1.3." International Journal of Power Electronics and Drive Systems (IJPEDS) 14, no. 4 (2023): 1995. http://dx.doi.org/10.11591/ijpeds.v14.i4.pp1995-2009.

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This paper presents modeling and control design steps towards the vehicle hybridization process. The objectives are: a) to model a retrofitted proton SAGA, which is a through-the-road HEV; and b) to design and implement a supervisory control unit for this vehicle. The electric powertrain components required for conversion are sized using the ADVISOR software package. Physical models of both powertrains were modeled using the MATLAB Simscape toolbox and validated for their fidelity. A supervisory controller design and implementation for retrofitted TTRH-EV SAGA is based on the BSFC map and OOL
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Dissertations / Theses on the topic "MATLAB/ADVISOR"

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Zhou, Yuliang Leon. "Modeling and simulation of hybrid electric vehicles." Thesis, 2007. http://hdl.handle.net/1828/307.

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With increasing oil price and mounting environment concerns, cleaner and sustainable energy solutions have been demanded. At present transportation constitutes a large portion of the energy consumed and pollution created. In this work, two hybrid vehicle powertrain technologies were studied, a fuel cell - battery hybrid and two internal combustion engine - battery/ultracapacitor hybrids. Powertrain performance models were built to simulate the performance of these new designs, and to assess the feasibility of a fuel cell hybrid power backup system for a special type of vehicles, elevato
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Book chapters on the topic "MATLAB/ADVISOR"

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Zhang, Dongjie, Lin Hu, Qingtao Tian, and Changfu Zou. "A Research of Different Energy Management Strategies of Lithium-ion Battery-Ultracapacitor Hybrid Energy Storage System." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_87.

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AbstractGiven the exacerbating effect of fossil fuel use in conventional vehicles on the greenhouse effect, the imperative development of electric vehicle technology becomes evident. To address the high energy and power density demands of electric vehicles, a lithium-ion battery-ultracapacitor hybrid energy storage system proves effective. This study, utilizing ADVISOR and Matlab/Simulink, employs an electric vehicle prototype for modeling and simulating both logic threshold and fuzzy logic control strategies. It aims to analyze the average output power and state of charge (SOC) of the lithium
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Zhao Jing-bo, Liu Hai-mei, and Bei Shao-yi. "Powertrain Parameter Matching and Control Strategy of Electric Drive Chassis for Extended-Range Electric Vehicle." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-785-6-47.

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In order to evaluate the various performance indexes of extended range electric vehicles, a parameter matching is proposed for a certain extended range electric vehicle. Based on Matlab / Simulink, on the basis of ADVISOR series hybrid electric vehicle model, modify and optimize vehicle dynamics models, motor models and battery models, and propose the control strategy, the dynamic and economic performance was researched in UDDS cycle condition. The results shown that when the motor torque is 0~200Nm, the engine torque output is 55~100Nm, the efficiency of the battery is kept above 90% under th
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A. Kamoona, Mustafa, and Juan Manuel Mauricio. "Load-Sharing Management for Fuel Cell Hybrid Electric Vehicle (FCHEV) Based on Intelligent Controllers and Optimization Algorithms." In Electric Vehicles - Design, Modelling and Simulation [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.113001.

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This study proposes an intelligent controller for a hydrogen-powered plug-in fuel cell hybrid electric vehicle (FCHEV) that integrates a fuel cell (FC) with two energy storage systems, which are ultracapacitor (UC) and battery (BAT), which results in a high dynamic response along with maintaining efficient use of resources for energy storage. Moreover, this controller works on effectively managing the system power flow to reduce the amount of power needed for the FCHEV. An effective energy management system (EMS) has been developed that utilizes the fuzzy logic controller (FLC) and artificial
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Conference papers on the topic "MATLAB/ADVISOR"

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N, Shivappriya S., Dinesh A, Sanjayram A. K, Jones Alwyn J, Jalaja Jayalakshmi V, and Dhivyapraba R. "E-Vehicle Performance Analysis using MATLAB ADVISOR Tool." In 2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2023. http://dx.doi.org/10.1109/icaeca56562.2023.10200251.

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Zulkifli, Saiful A., and Muhd Anisrudien Mohd Dali. "Development of vehicle powertrain simulation module by interfacing Matlab-ADVISOR to LabVIEW." In 2017 IEEE Conference on Systems, Process and Control (ICSPC). IEEE, 2017. http://dx.doi.org/10.1109/spc.2017.8313034.

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Fan, Brian S., Amir Khajepour, and Mehrdad Kazerani. "Fuel Efficiency Comparison Between a Conventional and a Hybrid Vehicle Using a Model Based on MATLAB/Simulink and ADAMS." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50028.

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Recent development of hybrid vehicles in the automotive industry has demonstrated the capability of reducing fuel consumption while maintaining vehicle performance. The purpose of this paper is to present a hybrid vehicle model created in MATLAB and ADAMS, and its fuel economy improvement over a conventional vehicle system. The hybrid vehicle model discussed in this paper utilizes the Honda IMA (Integrated Motor Assist) architecture. The powertrain components’ power output calculation and the control logic were modeled in MATLAB/Simulink, while the mechanical inertial components were modeled i
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Pritchard, Ewan, and Richard R. Johnson. "Technical Performance Modeling of Hybrid and Plug-In Hybrid Electric School Buses Using ADVISOR." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79530.

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The hybrid electric vehicle is changing the automotive market at an impressive rate. While not as highly publicized, the transit bus market is being transformed at an equally great rate. As these markets move forward, the school bus market remains largely unchanged. As an unchanged market, there is still the opportunity to optimize a hybrid vehicle platform for school buses. This study models an existing class C school bus and investigates the potential of both series and parallel hybrids to reduce fuel consumption and emissions. The primary focus of this study is to investigate the potential
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Markel, Tony, and Keith Wipke. "Optimization Techniques for Hybrid Electric Vehicle Analysis Using Advisor." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/de-23267.

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Abstract System optimization is an extremely important step in the vehicle design process. Recently the National Renewable Energy Laboratory (NREL), both internally and through its subcontractors, has been actively developing and applying optimization tools to vehicle systems analysis problems associated with hybrid electric vehicles. We are applying both locally- and globally-focused optimization tools to these analysis problems. This paper describes the current status of the tools under development and the application of these tools to a specific problem. The optimization tools evaluated inc
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Zhou, Yuliang Leon, and Zuomin Dong. "Modeling and Simulation of Fuel Cell Elevator Backup Power Systems Using Advanced Vehicle Simulator." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35564.

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With limited available space in the city and increasing land cost, multi-storey and high-rise buildings now dominate most urban areas of the world. The irresistible trend to build taller and taller buildings to leverage increasing land cost turns elevator from a tool of convenience to a necessity of life. This dependence of elevator further requires its continuous function in spite of power failure caused by a variety of reasons. Reliable and effective elevator power backup system becomes an urgent need today. In this work, advanced electric power backup technologies, including battery, ultrac
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Wishart, Jeffrey D., Zuomin Dong, and Marc M. Secanell. "Optimization of a PEM Fuel Cell System for Low-Speed Hybrid Electric Vehicles." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99606.

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Design optimization is performed by presenting a systematic method to obtain the optimal operating conditions of a Proton Exchange Membrane (PEM) fuel cell system targeted towards a vehicular application. The fuel cell stack model is a modified version of the semi-empirical model introduced by researchers at the Royal Military College of Canada and one that is widely used by industry. Empirical data obtained from tests of PEM fuel cell stacks are used to determine the empirical parameters of the fuel cell performance model. Based on this stack model, a fuel cell system model is built in MATLAB
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Reports on the topic "MATLAB/ADVISOR"

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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PH
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