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Driver-in-the-loop and different human-machine goal consistency should be considered when designing driver-AFS interactive steering control system. In this paper, a novel design approach, namely dynamic game theory is used for the modelling of shared steering control between driver and AFS. Linear Quadratic dynamic optimization approach is used to derive the non-cooperative Nash, non-cooperative Stackelberg,...
This paper aims to present a methodology that helps improving systems modelling by using Process Integration and Design Optimization technologies. Then, the methodology has been applied on an automotive case study: the improvement of the hybrid vehicle TOYOTA PRIUS III modelling. This work has been carried out in the context of the international research program PLACIS (PLAteforme Collaborative d'Ingénierie...
In this work a distributed algorithm for the optimization of signal setting on urban network is proposed. The Traffic Signal Synchronization is a traffic engineering technique of matching the green light times for a series of intersections to enable the maximum number of vehicles to pass through, thereby reducing stops and delays experienced by motorists. Synchronizing Traffic Signals ensures a better...
In this work an algorithm for the optimization of signal setting on urban network is proposed. Signal setting are designed based on a given flow in the network. However, the flow in the network is also influenced by the route choice decisions. This paper deals with traffic signal setting with demand assignment. All approaches proposed in literature to address this problem are based on equilibrium...
For vehicle routing problem with time windows, a two-stage optimization algorithm with the help of ant colony algorithm and plug-in heuristic algorithm are proposed to solve vehicle routing problem. The first stage is the use of ant colony algorithm AS model to solve the pre-path, and the second stage is pre-path segmentation based on distribution of customer point and the constraints in the model...
Competitive advantage of a firm is usually reflected through its superiority in production resources and performance outcomes. In order to achieve high performance (e.g., productivity) and significantly improve product quality, major US industries have promoted and implemented Robust Design (RD) techniques during the last decade. RD is a cost-effective procedure for determining the optimal settings...
Aggregators in smart grid are business operators providing services to aggregate and visualize electricity information, balance demand and supply, reduce energy consumption, and do the other activities with Energy Management Systems (EMSs). An aggregator for Apartment Building Energy Management Systems (Apartment-BEMSs) balances demand and supply considering all households in its building. The buildings...
This paper focuses on methodology of optimization of the torque split and gear shift points in any drive cycle for Hybrid Electric vehicle. The methodology evaluates objective parameter defined at each and every operating point for Internal Combustion Engine (ICE) and electric motor-generator (E-machine) for all possible torque split and gear shift combinations at a particular instant and finally...
In this paper, we present a control method based on nonlinear constrained optimization combined with singular perturbation theory, to deal with the problem for a vehicle to brake in a corner with stability. The control laws are elaborated from a simple horizontal model and are shown to be very robust to unmodeled dynamics (such as the vertical dynamics of the car and the suspensions).
Context: Continuous Improvement in manufacturing to attain manufacturing excellence is today's requirement. It gives cutting edge over the competitors. This has developed lot of interest for the researchers during the last few years. Vehicle Assembly Line being the most complex Assembly line has been active area of research over years and has attracted many researchers.
The popularity of electric vehicles (EVs) provides great help to solve the increasingly serious energy issues and environmental problems, but it also has limitation such as short driving range and long charging time. This paper proposed an optimization strategy for EVs to travel more efficiently called planed ordered charging (POC for short), that is, spending more time on driving and necessary charging...
Vehicle Routing Problem (VRP) is a famous combinatorial optimization problem and it has been extended to a multi-objective optimization perspective. This paper targets solving VRP with stochastic demand (VRPSD) under the constraints of available time window and vehicle capacity. The objective of the problem is to simultaneously minimize total travelling distance and total drivers' remuneration. This...
Hybrid electric vehicles (HEVs) have emerged as near term sustainable technologies to reduce fossil-fuel dependency. The variation in fuel economy (FE) due to the variation in driving patterns exists in hybrid electric vehicles (HEVs). Powertrain component size optimisation based on a methodology considering a range of driving patterns including different traffic conditions and driving styles simultaneously...
The purpose of the study is to analyze the configurations of Plug-in Hybrid Electric Vehicles (PHEV) with respect to fuel economy. Existing studies mostly focus on hybrid systems or few PHEV systems by only considering power split ratio and component efficiency. This paper adds original contribution to these literatures. First of all, this study compares and analyzes “series + α” PHEV — Input split,...
In-wheel motor drive (IWMD) is currently a hot topic in electric vehicle research and development for its remarkable advantages. But the extra wheel mass from the motor worsens vehicle ride comfort and road holding. Motor vibration is another problem, which does harm to motor performance and service life. As a trial response to the above problems, a 1/4 car model is established for electrical vehicles...
Based on the good performance of Max-Min Ant System (MMAS) in solving the Traveling Salesman Problem (TSP), a Max-Min Ant System with Two Colonies is proposed for the combinatorial optimization problems in this paper. This method is motivated by the fact that there are many colonies of ants in the natural world. In the proposed method, ants search solutions by cooperating with each other in the same...
Safety for the occupants of medium-heavy truck is a prime consideration for cab structure design. Among front, rear impact and rollover accident, it is rollover that results in severe Casualty for occupants. Especially during the whole process of 180° rollover accidents,including two steps,the first step is 90° rollover, the second step is 90° rollover up to 180°. A new more legal and strict rollover...
Traffic congestions often occur within the entire traffic network of the urban areas due to the increasing of traffic demands by the outnumbered vehicles on road. The problem may be solved by a good traffic signal timing plan, but unfortunately most of the timing plans available currently are not fully optimized based on the on spot traffic conditions. The incapability of the traffic intersections...
An orthogonal experimental scheme is designed for analyzing the powertrain system based on GT-drive. What extent of engine, gear-box and final drive influence on dynamic and economic performance of vehicle is presented respectively; hence, we can get An optimal matching option is get by comparing the results under different schemes. The effectiveness of this method is proven by real experiment.
In this paper a new concept for the layout of hybrid-electric-powertrains is developed that includes optimization of the component-sizes as well as control strategies. In contrast to most existing publications, the approach explicitly considers the conflicting goals of low fuel consumption and high vehicle longitudinal dynamics and the trade-off is quantified. Two multiobjective optimization subproblems...
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