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To develop a control strategy for a vehicle, the most important factors are to minimize the cost in terms of time and resources, and availability of a risk-free test environment to test new strategies. This paper presents the strategy for developing control-based models for a plug-in hybrid vehicle. The resulting vehicle model will allow development of advanced supervisory control strategies for the...
Hybrid electrical vehicles (HEVs) are able to improve the fuel economy with reduced emissions due to their effective power management and regenerative power utilization. However, developing an optimal supervisory control strategy to distribute power is quite challenging due to the high degrees of freedom introduced by the multiple power sources in HEVs. Conventional approach uses so-called power follower...
The research presented here is framed in the area of the design of Advanced Driving Assistance Systems (ADAS), carried out in the so-called automotive V-Cycle. In particular we concentrated our effort at the Model In the Loop (MIL) level. Indeed we developed an additional component for the fuel consumption evaluation at the MIL stage. The developed component has been based on the combination of a...
EBSF — European Bus System of the Future (2008–2013) and the recently started EBSF_2 (2015–2018) are two research projects led by UITP and funded by the European Union with the aim of developing a new generation of buses across Europe. If the (accomplished) goals of the former were to increase the bus attractiveness by testing innovative vehicles (e.g. providing improved comfort and accessibility...
Real-time and automatic tracking emissions of vessels can help the maritime traffic department and environmental monitoring department to study quantitatively and provide foundation for setting pollution reduction measures, and defining policies for management departments. Traditionaly method is based on fuel consumptions of vessels which need the cooperation of vessel operators; it is hard to realised...
This paper describes an intelligent engine stop-start strategy for vehicles equipped with this system. This controller, at first stage, monitors the history of vehicle movement and quantifies the traffic condition. At the second stage, based on this traffic degree it adjusts one controller parameter named waiting time that is the time that has to pass for engine to shut down. This way, this strategy...
This paper considers the problem of fuel-efficient of platoons. A two layer control structure is presented. Firstly, design the first layer controller based on the linearized model and the range of the feedback control parameter is achieved by stability analysis with the method of Laplace transform and the final value theorem. Then, a distributed receding horizon control algorithm is proposed for...
Ability to model and predict the fuel consumption is vital in enhancing fuel economy of vehicles and preventing fraudulent activities in fleet management. Fuel consumption of a vehicle depends on several internal factors such as distance, load, vehicle characteristics, and driver behavior, as well as external factors such as road conditions, traffic, and weather. However, not all these factors may...
Presently vehicles have low emphasis on showing the performance of the components including mileage, engine quality and battery quality. It has level indicators for fuel quantity and odometer for distance travelled for a particular trip. In order to improve the monitoring of the vehicle health, a Fuzzy based system is proposed which provides suggestions for calibration. It employs sensors and IoT...
Vehicles play an important role in transportation. Using fossil fuels as their source of energy, they are a source of pollution. HEVs are improving and a day will come that they will take over the role of conventional vehicles. In the path of improving HEVs, optimizing components sizes of the vehicle and better strategy controls are vital methods to reach the desired goals. In this path practical...
Fuel consumption is an important factor in the route search for vehicular navigations. In this paper, we propose a personalized eco-friendly route search method that considers the driver's driving style, road traffic, geographic information and vehicular parameters. Firstly, we classify the driving styles into three categories (calm, normal and aggressive) by adopting a Learning Vector Quantization...
Nowadays, motorized vehicles are essential in our daily lives. Therefore, fuel supply services should be efficient and easily accessible. Fuel supplying may encounter some difficulties, such as queues, non-continuous availability of fuel, and fraud. The problems of long waiting queues and non-continuous availability of fuel can be solved by going to another near fuel station. However, fraud is a more...
It's necessary to study vehicle emission characteristics and emission factors for establishing vehicle emission inventory and the corresponding control strategy. The paper presents the results of on-board exhaust emission tests of diesel and Compressed Natural Gas vehicles under real road conditions of city traffic using a PEMS equipment. The results show that the PEMS equipment can be used to test...
This paper focuses on the energy management of battery for electric vehicle applications. The ultra capacitors are used in electric vehicle which protects the batteries from high peak current and therefore extend the life time of battery. The combination of ultra capacitor and battery are used to improve the power density in electric vehicles. The proposed system contains SEPIC converter which reduces...
EVs (Electric vehicle) generally have only around 22% driving ranges compared with ICEVs (Internal combustion engine vehicle) with a similar price range. Running out of the EV battery SoC (State of charge) while driving gives the same inconvenience as a vehicle breakdown. In this paper, we emphasize that an accurate remaining range estimation can efficiently mitigate the range anxiety of EV drivers...
The informal public transport industry in South Africa, primarily dominated by minibus taxis is noted for poor compliance and disregard towards posted speed limits. They go as far as driving over the differentiated speed limit of the lighter passenger vehicles used for private transport. This paper compares and evaluates improvements in their speed compliance using two renowned interventions: automated...
Present study attempts to quantify the effect shared auto-rickshaws (SAs) assert on driving pattern of motorcycles (MCs) and passenger cars (PCs) in terms of fuel consumption and exhaust emission. A three day long SA strike was used to compare the driving pattern of MCs and PCs with that of a regular busy day. Driving cycles (DCs) for all three vehicle classes were generated using on-board measurement...
In this paper, we extend the dual decomposition approach to Complete Vehicle Energy Management (CVEM) with novel solution methods to reduce computation time. The CVEM problem is solved for a case study of a hybrid heavy-duty vehicle, equipped with an electric machine, a high-voltage battery system and a refrigerated semi-trailer, by combining two solution methods. The first proposed solution method...
This paper presents findings from a simulationbased comparative evaluation of driving behaviours and their impacts on road safety, environmental quality and network efficiency. Driving behaviour was represented by driver speed, acceleration, lane changing and gap acceptance actions. A fourmode elemental emissions model was used to collect second-bysecond data on fuel consumption and CO2 emissions...
For point-to-point direct delivery over the transportation network, timely delivery of commodity and reduction of total fuel cost are both important objectives to consider. Since fuel prices can vary significantly over a broad region, often there is a tradeoff between fuel cost and travel time. A short path may not be economical in terms of fuel cost while routing through regions with lower fuel prices...
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