Global ETD Search

1	Sustainability of marketing systems systeming interpretation of hybrid car manufacturer and consumer communications / Kadirov, Djavlonbek. January 2007 (has links) Thesis (Ph.D.)--University of Waikato, 2007. / Title from PDF cover (viewed October 6, 2008) Includes bibliographical references (p. 304-332) Marketing Marketing Hybrid electric cars
2	Effects of hybrid engine technology on Canadian light duty vehicle gasoline demand / Conn, Peter. January 1900 (has links) Thesis (M.A.) - Carleton University, 2009. / Includes bibliographical references (p.68-71). Also available in electronic format on the Internet.
3	Simulation and optimization of a fuel cell hybrid vehicle Brown, Darren. January 2008 (has links) Thesis (M.S.)--University of Delaware, 2008. / Principal faculty advisors: Ajay K. Prasad and Suresh G. Advani, Dept. of Mechanical Engineering. Includes bibliographical references.
4	Analysis of the fuel economy potential of a direct injection spark ignition engine and a CVT in an HEV and a conventional vehicle based on in-situ measurements Min, Byung-Soon, Matthews, Ronald D., January 2004 (has links) (PDF) Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisor: Ronald Matthews. Vita. Includes bibliographical references. Also available from UMI.
5	Development of control strategies to optimize the fuel economy of hybrid electric vehicles Ramaswamy, Nikhil 22 May 2014 (has links) This thesis (1) reports a new Dynamic Programming (DP) approach, and (2) reports a Real Time Control strategy to optimize the energy management of a Hybrid Electric Vehicle(HEV). Increasing environmental concerns and rise in fuel prices in recent years has escalated interest in fuel efficient vehicles from government, consumers and car manufacturers. Due to this, Hybrid electric vehicles (HEV) have gained popularity in recent years. HEV’s have two degrees of freedom for energy flow controls, and hence the performance of a HEV is strongly dependent on the control of the power split between thermal and electrical power sources. In this thesis backward-looking and forward-looking control strategies for two HEV architectures namely series and parallel HEV are developed. The new DP approach, in which the state variable is not discretized, is first introduced and a theoretical base is established. We then prove that the proposed DP produces globally optimal solution for a class of discrete systems. Then it is applied to optimize the fuel economy of HEV's. Simulations for the parallel and series HEV are then performed for multiple drive cycles and the improved fuel economy obtained by the new DP is compared to existing DP approaches. The results are then studied in detail and further improvements are suggested. A new Real Time Control Strategy (RTCS) based on the concept of preview control for online implementation is also developed in this thesis. It is then compared to an existing Equivalent Cost Minimization Strategy (ECMS) which does not require data to be known apriori. The improved fuel economy results of the RTCS for the series and parallel HEV are obtained for standard drive cycles and compared with the ECMS results Modeling and simulation Control strategies Hybrid electric vehicles Hybrid electric cars Dynamic programming Control thoery
6	Design of lightweight electric vehicles De Fluiter, Travis. January 2008 (has links) Thesis (M.E. Mechanical Engineering)--University of Waikato, 2008. / Title from PDF cover (viewed October 2, 2008) Includes bibliographical references (p. 131-136)
7	A hybrid approach to enhance an automotive manufacturing process using QFD & VSM techniques Vázquez Astorga, Gabriel, January 2008 (has links) Thesis (M.S.)--University of Texas at El Paso, 2008. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.
8	Development of simulation tools, control strategies, and a hybrid vehicle prototype Pei, Dekun 14 November 2012 (has links) This thesis (1) reports the development of simulation tools and control strategies for optimizing hybrid electric vehicle (HEV) energy management, and (2) reports the design and testing of a hydraulic hybrid school bus (HHB) prototype. A hybrid vehicle is one that combines two or more energy sources for use in vehicle propulsion. Hybrid electric vehicles have become popular in the consumer market due to their greatly improved fuel economy over conventional vehicles. The control strategy of an HEV has a paramount effect on its fuel economy performance. In this thesis, backward-looking and forward-looking simulations of three HEV architectures (parallel, power-split and 2-mode power-split) are developed. The Equivalent Cost Minimization Strategy (ECMS), which weights electrical power as an equivalent fuel usage, is then studied in great detail and improvements are suggested. Specifically, the robustness of an ECMS controller is improved by linking the equivalence factor to dynamic programming and then further tailoring its functional form. High-fidelity vehicle simulations over multiple drive-cycles are performed to measure the improved performance of the new ECMS controller, and to show its potential for online application. While HEVs are prominent in the consumer market and studied extensively in current literature, hydraulic hybrid vehicles (HHVs) only exist as heavy utility vehicle prototypes. The second half of this thesis reports design, construction, and testing of a hydraulic hybrid school bus prototype. Design considerations, simulation results, and preliminary testing results are reported, which indicate the strong potential for hydraulic hybrids to improve fuel economy in the school bus vehicle segment. Hydraulic hybrid vehicle Hybrid Prius Dynamic programming Hybrid electric vehicle Optimal control ECMS DP Equivalent cost minimization strategy Energy consumption Hybrid electric cars Electric automobiles Electric automobiles Research
9	Analysis of the fuel economy potential of a direct injection spark ignition engine and a CVT in an HEV and a conventional vehicle based on in-situ measurements Min, Byung-Soon 28 August 2008 (has links) Not available / text Automobiles--Fuel consumption Hybrid electric cars--Fuel consumption Spark ignition engines--Fuel consumption Automobiles--Transmission devices
10	Dynamic modeling and feedback control with mode-shifting of a two-mode electrically variable transmission Katariya, Ashish Santosh 31 August 2012 (has links) This thesis develops dynamic models for the two-mode FWD EVT, develops a control system based on those models that is capable of meeting driver torque demands and performing synchronous mode shifts between different EVT modes while also accommodating preferred engine operating points. The two-input two-output transmission controller proposed herein incorporates motor-generator dynamics, is based on a general state-space integral control structure, and has feedback gains determined using linear quadratic regulator (LQR) optimization. Dynamic modeling of the vehicle is categorized as dynamic modeling of the mechanical and electrical subsystems where the mechanical subsystem consists of the planetary gear sets, the transmission and the engine whereas the electrical subsystem consists of the motor-generator units and the battery pack. A discussion of load torque is also considered as part of the mechanical subsystem. With the help of these derived dynamic models, a distinction is made between dynamic output torque and steady-state output torque. The overall control system consisting of multiple subsystems such as the human driver, power management unit (PMU), friction brakes, combustion engine, transmission control unit (TCU) and motor-generator units is designed. The logic for synchronous mode shifts between different EVT modes is also detailed as part of the control system design. Finally, the thesis presents results for responses in individual operating modes, EVT mode shifting and a full UDDS drive cycle simulation. Hybrid electric vehicles EVT-2 EVT-1 Two-mode EVT Output torque Motor-generator units Battery pack Supervisory controller Transmission control Planetary gear sets Transmission Engine Load torque Power balance Powertrain Power management UDDS Synchronous mode shifting Drive cycle Simulations LQR Hybrid electric cars Prius automobile

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