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Plug-in Hybrid Electric Vehicle (PHEV) control strategies have received much attention in recent years for their significant impact in reducing the overall fuel cost. Dynamic programming (DP) is a control method which calculates every possible outcome at each step to find out the optimal supervisory control trajectory. In this work, DP is applied to a PHEV control strategy using a backward looking...
To ensure the safety of environment a major challenge to the vehicle manufacturer is the emission rate of vehicle. Emission of environment polluting particles especially CO2 from conventional vehicles is a direct threat to the environment. As global vehicle market are expanding day by day so this high rate of emission is already a nightmare to the environment specialist. That's why some of green technologies...
Recently, more and more vehicles are running on the road, which causes fuel consumption and environmental pollution problems. As a significant factor to the fuel consumption, road grade is often neglected in the vehicle energy consumption model and the decision of optimal path of the vehicle navigation system because of the difficulty of its collection and measurements. This work demonstrates the...
We introduce a new problem in the area of scheduling and route planning operations called the service agent transport problem (SATP). Within the SATP, autonomous service agents must perform tasks at a number of locations. The agents are free to move between locations, however, the agents may also be transported throughout the region by a limited number of faster-moving transport agents. The goal of...
In an effort to improve sailor safety during underway replenishment on the open sea, a robotic refueling system has been developed to autonomously refuel unmanned surface vehicles (USVs). The Rapid Autonomous Fuel Transfer (RAFT) project has demonstrated a methodology that could be used on the open water to autonomously refuel Navy vessels at significant sea states. The prototype refueling system...
Intelligent transportation systems that distribute information between roadside infrastructures and vehicles are one of the most promising solutions to the problem of traffic congestion. When most existing ITS solutions are centralized and information-complete, we propose PDLAIS - a Partial, Decentralized and Locally Autonomous Strategy, tested with an application called Smooth Way, allowing drivers...
Stress is the cause of a large number of traffic accidents. The driver increases driving mistakes when he or she is in this mental state. Furthermore, the fuel consumption gets worse. In this paper, we propose an algorithm to estimate the optimum speed from the point of view of the stress level for each road section. When the driver completes a road section, the solution provides him or her with feedback...
Rising fuel prices and environmental harmful emissions led to plethora of research for fuel and emission reduction. Using the upcoming V2V/V2I technology and the Connected Vehicle (CV) model, we address the problem of eco- driving, which examines how the latest technology can be harnessed to improve fuel-efficiency and reduce harmful emissions. In this paper, for the first time in the literature we...
Platooning is both a challenging and rewarding application. Challenging since strict timing and reliability requirements are imposed by the distributed control system required to operate the platoon. Rewarding since considerable fuel reductions are possible. As platooning takes place in a vehicular ad hoc network, the use of IEEE 802.11p is close to mandatory. However, the 802.11p medium access method...
The present paper introduces an analysis method that quantifies through simulation the impact of vehicle dynamics on the energy efficiency. The research is based on Matlab modeling and closed loop approach. The study considers a set of critical parameters that influence the energy efficiency. The added value is given by the increased energy efficiency as a result of the implementation of the proposed...
A fuel-optimal operating strategy is proposed for a parallel hybrid electric railway vehicle that involves both a modification of the driving strategy and a corresponding energy management. The optimisation is based on an algebraic inverse system model describing the longitudinal dynamics and the complete power train. Aiming at a small computing time, only the dominant effects of the train longitudinal...
Hydraulic power assist (HPA) vehicle control strategy is always a hotspot in the field of hybrid vehicle research. To improve the HPA vehicle entire fuel consumption efficiency, many researches have been done to make the energy recovery rate higher. Well, according to the engine's fuel consumption curves, the fuel consumption does not proportion to the energy requirement, which means the energy recovery...
Recent focus on environment impacts and energy efficiency has been a key consideration for any vehicle manufacturer currently. These scenarios have led to the development of hybrid vehicle powertrains to acts as an immediate step towards improving fuel economy and reducing emissions. The hybridization of powertrain leads to an increase in overall cost of the vehicle on account of the anticipated benefits...
Zero Emissions, non-polluting vehicles like Electric vehicles are top priority need to save world environment, limited fossil fuel resources and increasing problem in road transportation. Modern Electric Trolley Buses(ETBs) are suitable except their current collector systems i.e. pole adaptors system which creates many operational problems in comparison to fuel buses. An innovative design of Current...
This paper describes the indigenous development of CAN based low-cost cluster controller which drives the non-CAN cluster in a CAN based vehicle. The use of CAN network in vehicle is ever growing and has number of advantages which includes efficient diagnostics, low-cost and reduced wiring harness. The use of CAN network in a module expects the other interconnected modules also to be CAN based. Typical...
Despite the major improvements in battery performance over recent years and the development of hybrids and plug in hybrids, the market penetration of electric vehicles remains stubbornly low. Even though the fuel costs of EVs are much lower than the alternatives the high price of EV batteries is one of the problems which still deters buyers. With the increasing popularity of electric vehicles, "range...
This paper proposes a distributed framework for optimal control of vehicles in transportation networks. The objective is to reduce the balanced fuel consumption and travel time through hybrid control on speed limit and ramp metering rate. The dual decomposition theory associated with the subgradient method is then applied in order to decompose the optimal control problem into a series of suboptimal...
This paper presents a computational model capable of improving the action policies for a well-defined domain. Each action policy is represented as a driving plan P, which is composed of a number of actions {a1, ∶ an}. These actions can be used to move a train in a stretch of railroad Sti. The plans are elaborated using a CBR approach and reusing previous solutions and learning from plans. The CBR...
Several municipalities are investigating smart road infrastructures to help reducing pollution and traffic congestion. In this paper, a road to vehicle assistance system is presented. The system continuously suggests the optimal velocity the driver should adopt in order to minimize fuel consumption in a long urban road with frequent intersection controlled by traffic lights. Fuel saving is enabled...
Platooning is a way to significantly reduce fuel consumption of trucks. Vehicles that drive at close inter-vehicle distance assisted by automatic controllers experience substantially lower air-drag. In this paper, we deal with the problem of coordinating the formation and the breakup of platoons in a fuel-optimal way. We formulate an optimization problem which accounts for routing, speed-dependent...
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