Relevant bibliographies by topics / Vehicle range

Academic literature on the topic 'Vehicle range'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Vehicle range"

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Lee, Kwan Hyeong. "Improvement in Target Range Estimation and the Range Resolution Using Drone." Electronics 9, no. 7 (July 13, 2020): 1136. http://dx.doi.org/10.3390/electronics9071136.

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This study measured the speed of a moving vehicle in multiple lanes using a drone. The existing methods for measuring a vehicle’s speed while driving on the road measure the speed of moving automobiles by means of a sensor that is mounted on a structure. In another method, a person measures the speed of a vehicle at the edge of a road using a speed-measuring tool. The existing method for measuring a vehicle’s speed requires the installation of a gentry-structure; however, this produces a high risk for traffic accidents, which makes it impossible to measure a vehicle’s speed in multiple lanes at once. In this paper, a method that used a drone to measure the speed of moving vehicles in multiple lanes was proposed. The suggested method consisted of two LiDAR sets mounted on the drone, with each LiDAR sensor set measuring the speed of vehicles moving in one lane; that is, estimating the speed of moving vehicles in multiple lanes was possible by moving the drone over the road. The proposed method’s performance was compared with that of existing equipment in order to measure the speed of moving vehicles using the manufactured drone. The results of the experiment, in which the speed of moving vehicles was measured, showed that the Root Mean Square Error (RMSE) of the first lane and the second lane was 3.30 km/h and 2.27 km/h, respectively. The vehicle detection rate was 100% in the first lane. In the second lane, the vehicle detection rate was 94.12%, but the vehicle was not detected twice in the experiment. The average vehicle detection rate is 97.06%. Compared with the existing measurement system, the multi-lane moving vehicle speed measurement method that used the drone developed in this study reduced the risk of accidents, increased the convenience of movement, and measured the speed of vehicles moving in multiple lanes using a drone. In addition, it was more efficient than current measurement systems because it allowed an accurate measurement of speed in bad environmental conditions.
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Szumska, Emilia M., and Rafał S. Jurecki. "Parameters Influencing on Electric Vehicle Range." Energies 14, no. 16 (August 7, 2021): 4821. http://dx.doi.org/10.3390/en14164821.

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There is a range of anxiety-related phenomena among users and potential buyers of electric vehicles. Chief among them is the fear of the vehicle stopping and its users getting “stuck” before reaching their designated destination. The limited range of an electric vehicle makes EV users worry that the battery will drain while driving and the vehicle will stall on the road. It is therefore important to know the factors that could further reduce the range during daily vehicle operation. The purpose of this study was to determine the effect of selected parameters on a battery’s depth of discharge (DOD). In a simulation study of an electric vehicle, the effects of the driving cycle, ambient temperature, load, and initial state of charge of the accumulator on the energy consumption pattern and a battery’s depth of discharge (DOD) were analyzed. The simulation results confirmed that the route taken has the highest impact on energy consumption. The presented results show how significantly the operating conditions of an electric vehicle affect the energy life. This translates into an electric vehicle’s range.
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Dimitrova, Zlatina. "Optimal designs of electric vehicles for long-range mobility." MATEC Web of Conferences 234 (2018): 02001. http://dx.doi.org/10.1051/matecconf/201823402001.

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This paper introduces the major priorities of the automotive industry of reducing energy consumption and emissions of the passenger cars of the future and of delivering an efficient mobility service for customers. The number of electric vehicles and hybrid electric vehicles is increasing in the mobility market. The problems of the range and the energy storage of the vehicle on board are important. This paper studies the energy system of electric vehicles for different ranges and mobility usages. A multi-objective optimization method is applied to estimate the optimal vehicle energy system designs for urban mobility and for long way electric mobility (> 500 km). Optimal designs considering technical, economic and environmental criteria are presented. The relations between the vehicle ranges and the energy densities of high voltage batteries are illustrated. The boundary of the system is extended to the vehicles and the grid system, including the charging infrastructure. The vehicle energy systems and recharging needs are analysed for a range of 500 km on electric drive.
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Musabini, Antonyo, Kevin Nguyen, Romain Rouyer, and Yannis Lilis. "Influence of Adaptive Human–Machine Interface on Electric-Vehicle Range-Anxiety Mitigation." Multimodal Technologies and Interaction 4, no. 1 (February 14, 2020): 4. http://dx.doi.org/10.3390/mti4010004.

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The electrification of vehicles is without a doubt one of the milestones of today’s automotive technology. Even though industry actors perceive it as a future standard, acceptance, and adoption of this kind of vehicles by the end user remain a huge challenge. One of the main issues is the range anxiety related to the electric vehicle’s remaining battery level. In the scope of the H2020 ADAS&ME project, we designed and developed an intelligent Human Machine Interface (HMI) to ease acceptance of Electric Vehicle (EV) technology. This HMI is mounted on a fake autonomous vehicle piloted by a hidden joystick (called Wizard of Oz (WoZ) driving). We examined 22 inexperienced EV drivers during a one-hour driving task tailored to generate range anxiety. According to our protocol, once the remaining battery level started to become critical after manual driving, the HMI proposed accurate coping techniques to inform the drivers how to reduce the power consumption of the vehicle. In the following steps of the protocol, the vehicle was totally out of battery, and the drivers had to experience an emergency stop. The first result of this paper was that an intelligent HMI could reduce the range anxiety of the driver by proposing adapted coping strategies (i.e., transmitting how to save energy when the vehicle approaches a traffic light). The second result was that such an HMI and automated driving to a safe spot could reduce the stress of the driver when an emergency stop is necessary.
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Evelyn, Evelyn, Abd Rashid Abd Aziz, and Poetro Lebdo Sambegoro. "A Review of Range Extender Technologies in Electric Vehicles." International Journal of Sustainable Transportation Technology 3, no. 1 (April 30, 2020): 7–11. http://dx.doi.org/10.31427/ijstt.2020.3.1.2.

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With the increasing global concern on negative environmental effect from the transportation sector, conventional automobile technologies will not be viable for much longer. Countries like the EU and China have introduced emission related regulations which are stricter than ever. This has compelled automotive manufacturer to turn to Electric Vehicles (EV) as the most effective solution to this issue. There are mainly two types of EV, namely Battery Electric Vehicle (BEV) and Hybrid Electric Vehicle (HEV). Both has its own strength and shortcomings, BEV with zero emission but limited range while HEV has better range at the expense of higher emission. Extended Range Electric Vehicle (EREV) provides a midpoint between these options. This option provides the best of both worlds by allowing users to switch between both systems depending on the vehicle’s operating condition. This paper aims to presents a variety of Range Extender (RE) configurations based on its working principle and type of fuel used. Internal combustion engine, fuel cell, and microturbine are what RE is commonly powered by. The advantages and disadvantages are evaluated and compared to determine the optimal option. It was concluded that depending on fuel availability, space, and efficiency requirement, each configuration has its own merit.
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Kim, Seiho, Jaesik Lee, and Chulung Lee. "Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?" Sustainability 9, no. 10 (October 1, 2017): 1783. http://dx.doi.org/10.3390/su9101783.

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Ramasamy, Latha, Ashok Kumar Loganathan, and Rajalakshmi Chinnasamy. "Mathematical modelling of vehicle drivetrain to predict energy consumption." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (August 1, 2022): 638. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp638-646.

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Nowadays, <span>many firms have started producing electric vehicles (EVs). One of the biggest challenges to broad acceptance of electric vehicles is their limited range EVs. Forecasting future energy usage is one of the way to calculate the driving range. In this paper, a simulation model of the drivetrain has been developed to evaluate the energy flow of a vehicle for the given torque and speed conditions. The energy consumption of an electric vehicle is determined by the vehicle's attributes. Road torque, road speed, motor model, motor controller model, battery model, and PI controller are the primary components of the model. The overall resistive force offered by the vehicle, as well as energy consumption owing to resistive force during motoring and regeneration has been validated through the simulation results. Here, the vehicle model, Mercedes Benz Class C Saloon has been considered</span>.
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Joseph, Binsy, and Deepak Vishnu Bhoir. "Design and Assessment of Electric Vehicle Performance Parameters based on Drive Cycle." ITM Web of Conferences 40 (2021): 01007. http://dx.doi.org/10.1051/itmconf/20214001007.

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Electric vehicle plays a significant role, in the future transportation across the world. EV has the potential to reduce air pollution and emission of Greenhouse gasses significantly compared to the existing fossil-fuel-based vehicles. Even though substantial progress can be expected in the area of embarked energy storage technologies, charging infrastructure, customer acceptance of Electric Vehicles is still limited due to the problems of Driving range anxiety and long battery charging time. We can solve most of these problems with the infrastructure development ,optimum sizing and design of the vehicle components and extensive study on vehicle dynamics under various real-time driving conditions. This research focuses on the Matlab software based co-simulation of Electric Vehicle system, including the battery pack and motor, to predict the vehicle performance parameters like driving range, efficiency, power requirement, and energy characteristics under different driving scenarios. The vehicle’s acceleration performance, energy consumption, and efficiency are determined by simulation and verified analytically. Using ADVISOR software the fuel economies and tail pipe emission for various vehicle models are determined by simulation and results are compared with Hybrid Electric vehicle models.
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Zaeri, Naser. "A heterogeneous short-range communication platform for internet of vehicles." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (June 1, 2021): 2165. http://dx.doi.org/10.11591/ijece.v11i3.pp2165-2177.

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The automotive industry is rapidly accelerating toward the development of innovative industry applications that feature management capabilities for data and applications alike in cars. In this regard, more internet of vehicles solutions are emerging through advancements of various wireless medium access-control technologies and the internet of things. In the present work, we develop a short-range communication–based vehicular system to support vehicle communication and remote car control. We present a combined hardware and software testbed that is capable of controlling a vehicle’s start-up, operation and several related functionalities covering various vehicle metric data. The testbed is built from two microcontrollers, Arduino and Raspberry Pi 3, each of which individually controls certain functions to improve the overall vehicle control. The implementation of the heterogeneous communication module is based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 and IEEE 802.15 medium access control technologies. Further, a control module on a smartphone was designed and implemented for efficient management. Moreover, we study the system connectivity performance by measuring various important parameters including the coverage distance, signal strength, download speed and latency. This study covers the use of this technology setup in different geographical areas over various time spans.
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R, Tejashwini, and Dr Subodh Kumar Panda. "Design and Development of Vehicle Theft Detection, Tracking and Accident Identifier System using IoT." Journal of University of Shanghai for Science and Technology 23, no. 07 (July 8, 2021): 420–25. http://dx.doi.org/10.51201/jusst/21/07168.

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Vehicle security is one of the major concerns that the entire world is currently experiencing. People generally own automobiles, yet these automobiles are not always secure. Vehicle theft occurs in parking lots, public places, and other unsafe areas. The vehicle’s manufacturer does not consider the vehicle security system to be a factor in the overall cost of the vehicle. Nowadays, only a few vehicles come equipped with high-priced security systems. Door locking, alarm system, GSM, GPS, and other security features are built into high-end vehicles only. There is a necessity to build a low-cost security system for vehicles that common people can afford it and the manufacture can built-in the security system in a wide range of automobiles. This paper proposed a method for vehicle theft detection, tracking, and accident identification using the Internet of Things.
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Dissertations / Theses on the topic "Vehicle range"

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Papadopoulos, Geōrgios. "Underwater vehicle localization using range measurements." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62531.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-83).
This thesis investigates the problem of cooperative navigation of autonomous marine vehicles using range-only acoustic measurements. We consider the use of a single maneuvering autonomous surface vehicle (ASV) to aid the navigation of one or more submerged autonomous underwater vehicles (AUVs), using acoustic range measurements combined with position measurements for the ASV when data packets are transmitted. The AUV combines the data from the surface vehicle with its proprioceptive sensor measurements to compute its trajectory. We present an experimental demonstration of this approach, using an extended Kalman filter (EKF) for state estimation. We analyze the observability properties of the cooperative ASV/AUV localization problem and present experimental results comparing several different state estimators. Using the weak observability theorem for nonlinear systems, we demonstrate that this cooperative localization problem is best attacked using nonlinear least squares (NLS) optimization. We investigate the convergence of NLS applied to the cooperative ASV/AUV localization problem. Though we show that the localization problem is non-convex, we propose an algorithm that under certain assumptions (the accumulative dead reckoning variance is much bigger than the variance of the range measurements, and that range measurement errors are bounded) achieves convergence by choosing initial conditions that lie in convex areas. We present experimental results for this approach and compare it to alternative state estimators, demonstrating superior performance.
by Georgios Papadopoulos.
S.M.
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Hui, Corinna. "Laser Range Finder Mapping of Floating Vehicle." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54476.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 48).
Using laser range finders as a method of navigation is popular with mobile land robots; however, there has been little research using it with water vehicles. Therefore, this thesis explores the usage and data flow of a laser range finder on a water raft. A unique algorithm for localization and mapping for the sensor is developed and tested both in simulation and in realtime with a vehicle. Both the localization of the vehicle and mapping of its environment are able to achieve precise locations, deviating only a few millimeters of their expected values. With this algorithm, a closed-loop control system is also developed and implemented on the vehicle. The vehicle is able to move to a predefined location and be within a very small range of acceptable values. The control loop is further explored with damping, gain variations, and different trajectories..
by Corinna Hui.
S.B.
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Kersop, Stefanus Jacobus. "Short range reconnaissance unmanned aerial vehicle / S.J. Kersop." Thesis, North-West University, 2009. http://hdl.handle.net/10394/9171.

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Unmanned aerial vehicles (UAVs) have been used increasingly over the past few years. Special Forces of various countries utilise these systems successfully in war zones such as Afghanistan. The biggest advantage is rapid information gathering without endangering human lives. The South African National Defence Force (SANDF) also identified the need for local short range aerial reconnaissance and information gathering. A detailed literature survey identified various international players involved in the development of small hand-launch UAV systems. Unfortunately, these overseas systems are too expensive for the SANDF. A new system had to be developed locally to comply with the unique requirements, and budget, of the SANDF. The survey of existing systems provided valuable input to the detailed user requirement statement (URS) for the new South African development. The next step was to build a prototype using off-the-shelf components. Although this aircraft flew and produced good video images, it turned out to be unreliable. The prototype UAV was then replaced with a standard type model aircraft, purchased from Micropilot. Some modifications were needed to ensure better compliance with the URS. Laboratory and field tests proved that the aircraft can be applied for aerial images, within range of 10 km from the ground control station (GCS). The major limitation is that it can only fly for 40 minutes. Furthermore, the airframe is not robust, needing repairs after only 15 flights. Although the system has shortcomings, it has already been used successfully. It is expected that improved battery technologies and sturdier light-weight materials will further help to improve the system beyond user specifications.
Thesis (MIng (Electrical Engineering))--North-West University, Potchefstroom Campus, 2010.
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Westrick, Michael A. "Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345081406.

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Jabari, Rami Steve. "Range-Based Autonomous Underwater Vehicle Navigation Expressed in Geodetic Coordinates." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71426.

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Unlike many terrestrial applications, GPS is unavailable to autonomous underwater vehicles (AUVs) while submerged due to the rapid attenuation of radio frequency signals in seawater. Underwater vehicles often use other navigation technologies. This thesis describes a range-based acoustic navigation system that utilizes range measurements from a single moving transponder with a known location to estimate the position of an AUV in geodetic coordinates. Additionally, the navigation system simultaneously estimates the currents acting on the AUV. Thus the navigation system can be used in locations where currents are unknown. The main contribution of this work is the implementation of a range-based navigation system in geodetic coordinates for an AUV. This range-based navigation system is implemented in the World Geodetic System 1984 (WGS 84) coordinate reference system. The navigation system is not restricted to the WGS 84 ellipsoid and can be applied to any reference ellipsoid. This thesis documents the formulation of the navigation system in geodetic coordinates. Experimental data gathered in Claytor Lake, VA, and the Chesapeake Bay is presented.
Master of Science
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Gantt, Lynn Rupert. "Energy Losses for Propelling and Braking Conditions of an Electric Vehicle." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32879.

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The market segment of hybrid-electric and full function electric vehicles is growing within the automotive transportation sector. While many papers exist concerning fuel economy or fuel consumption and the limitations of conventional powertrains, little published work is available for vehicles which use grid electricity as an energy source for propulsion. Generally, the emphasis is put solely on the average drive cycle efficiency for the vehicle with very little thought given to propelling and braking powertrain losses for individual components. The modeling section of this paper will take basic energy loss equations for vehicle speed and acceleration, along with component efficiency information to predict the grid energy consumption in AC Wh/km for a given drive cycle. This paper explains how to calculate the forces experienced by a vehicle while completing a drive cycle in three different ways: using vehicle characteristics, United States Environmental Protection Agencyâ s (EPA) Dynamometer â targetâ coefficients, and an adaptation of the Sovran parameters. Once the vehicle forces are determined, power and energy demands at the wheels are determined. The vehicle power demands are split into propelling, braking, and idle to aide in the understanding of what it takes to move a vehicle and to identify possible areas for improvement. Then, using component efficiency data for various parameters of interest, the energy consumption of the vehicle as a pure EV is supplied in both DC (at the battery terminals) and AC (from the electric grid) Wh/km. The energy that flows into and out of each component while the vehicle is driving along with the losses at each step along the way of the energy path are detailed and explained. The final goal is to make the results of the model match the vehicle for any driving schedule. Validation work is performed in order to take the model estimates for efficiencies and correlate them against real world data. By using the Virginia Tech Range Extended Crossover (VTREX) and collecting data from testing, the parameters that the model is based on will be correlated with real world test data. The paper presents a propelling, braking, and net energy weighted drive cycle averaged efficiency that can be used to calculate the losses for a given cycle. In understanding the losses at each component, not just the individual efficiency, areas for future vehicle improvement can be identified to reduce petroleum energy use and greenhouse gases. The electric range of the vehicle factors heavily into the Utility Weighted fuel economy of a plug-in hybrid electric vehicle, which will also be addressed.
Master of Science
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Devarakota, Pandu Ranga Rao. "Classification and Localization of Vehicle Occupants Using 3D Range Images." Doctoral thesis, Stockholm : Elektrotekniska system, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4603.

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Knutsen, Daniel, and Oscar Willén. "A study of electric vehicle charging patterns and range anxiety." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-201099.

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Range anxiety is a relatively new concept which is defined as the fear of running out of power when driving an electric vehicle. To decrease range anxiety you can increase the battery size or decrease the minimum state of charge, the least amount of power that can be left in the battery, or to expand the available fast charging infrastructure. But is that economical feasible or even technically possible in today’s society? In this project we have used a theoretical model for estimating range anxiety and have simulated the average electricity consumption using two different kinds of electric vehicles, to see how often they reach range anxiety according to a specific definition of range anxiety implemented in this model. The simulations were performed for different scenarios in order to evaluate the effect of different parameters on range anxiety. The result that we got were that range anxiety can be decreased with bigger batteries but to get range anxiety just a few times a year you have to use battery sizes which aren’t economical feasible today. Despite the shortcomings of todays electric vehicles there are promising new and future technologies such as better batteries which might help alleviate range anxiety for electric vehicle owner. The conclusion from this study is that in the present fleet of electric vehicles is in need of more charging stations and faster charging to get by the problem with range anxiety and having a chance to compete with gasoline and diesel vehicles.
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Burke, William Churchill Taliaferro. "Large Force Range Mechanically Adjustable Dampers for Heavy Vehicle Applications." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/33386.

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Semi-active dampers utilizing various working principles have been developed for a variety of vehicles. These semi-active dampers have been designed to resolve the ride and handling compromise associated with conventional passive dampers, and increase vehicle stability. This thesis briefly reviews existing semi-active damper designs, including but not limited to MR dampers, before presenting two new prototype semi-active hydraulic dampers. Both prototype dampers are designed to provide a large force range while maintaining easily controllable valve characteristics.

The first of these dampers served primarily as a proof of concept and a means of understanding the dynamics of a disc valve housed inside the main piston. The valve design is presented, along with other information concerning the fabrication of the Initial Prototype damper. Test results are presented and analyzed, and a second iteration of the valve is designed. The Final Prototype damper is a scaled up version of the initial design, with refinements made in piston geometry, internal disc profile, and dynamic seals. This large force range damper is tested and results are compared with existing MR dampers. The Final Prototype damper provides a significantly larger force range when compared with typical MR dampers. Finally, to conclude this research, the vehicle dynamics implications of the Final Prototype damper are discussed and recommendations for further study are made.
Master of Science

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König, Daniel Hermann. "Optimization of the Control Strategy for a Range Extender Vehicle." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/78057.

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The Subject of this work is the optimization of the control stratgy for a Plug-In Range Extender in order to decrease CO2 emissions with respect to the regulations. Therefore, the vehicle is equipped with a gasoline combustion engine, a high voltage battery and two electric motors. One electric motor propells the front axle and the other one is connected to the combustion engine to generate electric power. The control is restricted by customer requirements due to the concept of the vehicle. A Model-in-the-Loop is created to simulate the control strategy with support of a battery model. Therefore, the control strategy is optimized in a Matlab/Simulink environment. The simulation results are compared to tests on the dynamometer rig. The optimization highly depends on the specific goal function, which can be a global optimization or a local minimum to balance the State of Charge. Furthermore, customer related drive cycles are taken into account to analyze the control strategy.
Master of Science
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Books on the topic "Vehicle range"

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Scorpion, the CVR(T) range. London: Arms and Armour Press, 1986.

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Mackall, Dale A. The X-33 extended flight test range. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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Mackall, Dale A. The X-33 extended flight test range. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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Mackall, Dale A. The X-33 extended flight test range. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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Kress, Gregory A. Preliminary development of a VTOL unmanned air vehicle for the close-range mission. Monterey, Calif: Naval Postgraduate School, 1992.

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Sharma, Ashley. X-33 integrated test facility extended range simulation. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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Service, United States Forest. Motor vehicle use map, Medicine Bow National Forest, Wyoming: Snowy Range and Sierra Madre, Laramie and Brush Creek-Hayden Ranger Districts. {Laramie, WY]: U.S. Dept. of Agriculture, Forest Service, 2009.

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Service, United States Forest. Motor vehicle use map, Medicine Bow National Forest, Wyoming: Snowy Range and Sierra Madre, Laramie and Brush Creek-Hayden Ranger Districts. Laramie, WY: U.S. Dept. of Agriculture, Forest Service, 2010.

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Service, United States Forest. Off-highway vehicle guide: Summit Ranger District, Stanislaus National Forest. Washington, D.C: USDA Forest Service, 2005.

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Service, United States Forest. Motor vehicle use map, Nebraska National Forest, Bassey Ranger District, Nebraska. Halsey, NE]: U.S. Dept. of Agriculture, Forest Service, 2010.

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Book chapters on the topic "Vehicle range"

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Kriescher, Michael, Sebastian Scheibe, and Tilo Maag. "Development of the Safe Light Regional Vehicle (SLRV): A Lightweight Vehicle Concept with a Fuel Cell Drivetrain." In Small Electric Vehicles, 179–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65843-4_14.

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AbstractThe safe light regional vehicle (SLRV) concept was developed within the DLR project next-generation car (NGC). NGC SLRV addresses the safety concern of typical L7e vehicles. The SLRV is therefore specifically designed to demonstrate significant improvements to the passive safety of small vehicles. Another important goal of the NGC SLRV concept is to offer solutions to some of the main challenges of electric vehicles: to provide an adequate range and at the same time a reasonable price of the vehicle. In order to address these challenges a major goal of the concept is to minimize the driving resistance of the vehicle, by use of lightweight sandwich structures. A fuel cell drivetrain also helps to keep the overall size and weight of the vehicle low, while still providing sufficient range.
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Min, Haitao, Dongjin Ye, and Yuanbin Yu. "Optimization of an Extended-Range Electric Vehicle." In Lecture Notes in Electrical Engineering, 275–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33777-2_21.

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Nwagboso, Christopher O. "Autonomous vehicle guidance using laser range imagery." In Automotive Sensory Systems, 223–42. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1508-7_11.

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Steinbauer, Pavel, Florent Pasteur, Jan Macek, Zbyněk Šika, and Josef Husák. "E-vehicle Predictive Control for Range Extension." In Advances in Intelligent Systems and Computing, 279–86. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46490-9_38.

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Matusz-Kalász, Dávid, István Bodnár, and Rafael Ruben Boros. "Range-Reducing Effect of Contaminants in Case of Solar Vehicles." In Vehicle and Automotive Engineering 3, 38–48. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9529-5_4.

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Trochaniak, Sunny, Megan Allen, Eric Mallia, Jennifer Bauman, and Matthew Stevens. "Personalized Total Cost of Ownership and Range-Capability Assessment as an EV Sales Accelerator." In Electric Vehicle Business Models, 179–93. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12244-1_11.

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Takahashi, Yoshiyuki. "Personal Mobility Vehicle for Assisting Short-Range Transportation." In Lecture Notes in Computer Science, 537–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41267-2_75.

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Okarma, Krzysztof, and Przemysław Mazurek. "Vehicle Tracking Using the High Dynamic Range Technology." In Communications in Computer and Information Science, 172–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24660-9_20.

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Pichelmann, Stefan, Thomas Franke, and Josef F. Krems. "The Timeframe of Adaptation to Electric Vehicle Range." In Human-Computer Interaction. Applications and Services, 612–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39262-7_69.

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Jing-bo, Zhao, Liu Hai-mei, and Bei Shao-yi. "Control Optimization of Range Extender’s Start-Stop Moment for Extended-Range Electric Vehicle." In Communications in Computer and Information Science, 421–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66963-2_38.

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Conference papers on the topic "Vehicle range"

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Bruhn, Hauke. "Optical measurement of vehicle body-shapes in the wind-tunnel." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294359.

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Dey, R. K., Sasmita Mahakud, Sudhansu Bala Das, Pradipta Roy, and Dipak Das. "Study of Atmospheric Attenuation of IR Signature of airborne vehicle." In 2019 International Conference on Range Technology (ICORT). IEEE, 2019. http://dx.doi.org/10.1109/icort46471.2019.9069643.

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Novak, Kurt. "Integration of a GPS-receiver and a stereo-vision system in a vehicle." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294247.

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Le Gauyer, Philippe. "Compact Aluminium Radiator Range Mechanically Assembled and Brazed." In Vehicle Thermal Management Systems Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/931100.

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Howell, Adam, Bongsob Song, and J. Karl Hedrick. "Cooperative Range Estimation and Sensor Diagnostics for Vehicle Control." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41931.

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An integrated sensor fusion and fault diagnostic for the cooperative estimation of range and range rate in automated vehicles is presented in this paper. A virtual range sensor created by combining local sensor measurements and a wireless communication link between vehicles is fused with measurements from a Doppler radar and lidar. The sensor fusion is conducted by using a sequential variant of the nonparametric probabilistic data association filter with validation gating. Fault diagnostics are incorporated into the sensor fusion by thresholding the Mahalanobis distance computed in the validation stage. Performance of the integrated system is verified and demonstrated using experimental data obtained from low-speed vehicle following tests.
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Lee, Jiann-Der, Jun-Ting Wu, Chung-Hung Hsieh, and Jong-Chih Chien. "Close range vehicle detection and tracking by vehicle lights." In 2014 International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2014. http://dx.doi.org/10.1109/avss.2014.6918698.

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Zhang, Yuhe, Wenjia Wang, Yuichi Kobayashi, and Keisuke Shirai. "Remaining driving range estimation of electric vehicle." In 2012 IEEE International Electric Vehicle Conference (IEVC). IEEE, 2012. http://dx.doi.org/10.1109/ievc.2012.6183172.

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Ramu, Chindam, Arvind Kumar Kushwaha, and Praveen Tandon. "Analysis of Aerospace Vehicle PCM Telemetry Link in Various Indoor Environments." In 2021 2nd International Conference on Range Technology (ICORT). IEEE, 2021. http://dx.doi.org/10.1109/icort52730.2021.9581544.

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van den Hoogen, Bob, Wouter Uijens, Richard J. M. den Hollander, Wyke Huizinga, Judith Dijk, and Klamer Schutte. "Long-range person and vehicle detection." In Artificial Intelligence and Machine Learning in Defense Applications II, edited by Judith Dijk. SPIE, 2020. http://dx.doi.org/10.1117/12.2582373.

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Lu, Po-Wen, and Rongshun Chen. "The Dedicated Short-Range Vehicle Tracking." In 2010 IEEE 71st Vehicular Technology Conference. IEEE, 2010. http://dx.doi.org/10.1109/vetecs.2010.5493637.

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Reports on the topic "Vehicle range"

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Davis, Russ E., and Jeffrey T. Sherman. Development of a Long-Range Underwater Vehicle. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598655.

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Davis, Russ E., and Jeffrey T. Sherman. Development of a Long-Range Underwater Vehicle. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada624489.

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Graham, R. P. Low-cost conformable storage to maximize vehicle range. Office of Scientific and Technical Information (OSTI), January 1998. http://dx.doi.org/10.2172/567485.

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Singer, Mark. Consumer Views: Fuel Economy, Plug-in Electric Vehicle Battery Range, and Willingness to Pay for Vehicle Technology. Office of Scientific and Technical Information (OSTI), May 2017. http://dx.doi.org/10.2172/1357413.

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Gassier, David, Jerome Rebollo, and Romain Dumonteil. Implementing a Low-Cost Long-Range Unmanned Underwater Vehicle: The SeaDiver Glider. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada468591.

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Trubac, Kathryn, Randall Reynolds, Timothy Cooke, Caylin Hartshorn, Douglas Punt, Christopher Donnelly, and Caitlin Callaghan,. Cold regions vehicle start : next-generation lithium-ion battery technologies for Stryker vehicles. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45921.

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Operating vehicles in extremely cold environments is a significant problem for not only the public but also the military. The Department of Defense has encountered issues when trying to reliably cold start large, heavy-duty military vehicles, specifically the M1126 Stryker Combat Vehicle, in cold regions. As noted in previous work, the issue stems from the current battery technology’s limited temperature range. This current project utilized the protocol established in the previous phase to evaluate next-generation lithium-ion battery technologies for use in cold regions. Selected battery technologies met necessary military specifications for use in large military combat vehicles and were evaluated using a mechanical load system developed in previous work to simulate the starting of a Stryker engine. This work also evaluated the performance of the existing battery technology of a Stryker under Alaskan winter temperatures, which will verify the accuracy of the simulated cold room testing on the mechanical load system. The results of the tests showed that while the system was able to reliably operate down to −20°C, the battery management system encountered challenges at the lower end of the temperature range. This technology has a potential to reliably support cold regions operations but needs further evaluation.
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Dunn, Stanley E. The Enhancement of Autonomous Marine Vehicle Testing in the South Florida Testing Facility Range. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada629859.

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Muelaner, Jody, ed. Unsettled Issues in Commercial Vehicle Platooning. SAE International, November 2021. http://dx.doi.org/10.4271/epr2021027.

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Platooning has the potential to reduce the energy consumption of commercial vehicles while improving safety; however, both advantages are currently difficult to quantify due to insufficient data and the wide range of variables affecting models. Platooning will significantly reduce the use of energy when compared to trucks driven alone, or at a safe distance for a driver without any automated assistance. Platooning will also reduce stopping distances—multiple states in the US have passed laws authorizing truck platoons to operate at shorter gaps than are authorized for normal, human-driven trucks. However, drivers typically do not currently leave the recommended gaps and, therefore, already gain much of the potential energy savings by drafting lead vehicles, albeit illegally. The automated systems associated with platooning cannot be programmed to flout safety recommendations in the way that human drivers routinely do. Therefore, actual energy savings may be minimal while safety may be greatly improved. More data will be needed to conclusively demonstrate a safety gain. Recommended safe gaps are currently highly generalized and must necessarily assume worst-case braking performance. Using a combination of condition monitoring and vehicle-to-vehicle communications, platooning systems will be able to account for the braking performance of other vehicles within the platoon. If all the vehicles in a platoon have a high level of braking performance, the platoon will be able to operate in a more efficient, tighter formation. Driver acceptance of platooning technology will increase as the systems become more effective and do not displace jobs. The increased loading of infrastructure must also be considered, and there may be requirements for upgrades on bridges or restrictions on platooning operation.
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An, Edgar. Continued Enhancement of Autonomous Marine Vehicle Testing in the South Florida Testing Facility Range 2001-2002. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627035.

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Ebisawa, Hiromichi, Yutaka Nagao, Keiichiro Tsutsui, and Kenji Yamazaki. Study for Efficient Simulation of a Full Vehicle System in Mid Frequency Range Using Modal Synthesis Method. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0590.

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