In this paper, we propose to make use of an auditory fuel efficiency display as means to support car drivers in adopting an energy-efficient driving style. We report on the development of the EcoSonic system as a platform for evaluating such displays and present five design approaches to guide their realization. In a study with 30 participants, we evaluated two prototype auditory displays again...

Driving a vehicle along a route consists of control actions applied to the vehicle by taking into account the vehicle and route states. Control actions are usually selected by optimizing the traveling time and the fuel consumption. However, the resulting vehicle behavior can be uncomfortable for the driver/passengers. The comfort is measured as the change of acceleration, i.e., jerk. To obtain ...

This paper formulates a mathematical model for the Green Vehicle Routing Problem (GVRP), incorporating bi-fuel (natural gas and gasoline) pickup trucks in a mixed vehicle fleet. The objective is to minimize overall costs relating to service (earliness and tardiness), transportation (fixed, variable and fuel), and carbon emissions. To reflect a real-world situation, the study considers: (1) a co...

This study explores different hybridization levels of a midsized vehicle powered by a polymer electrolyte membrane fuel cell stack. The energy buffer considered is a leadacid-type battery. The effects of the battery size on the overall energy losses for different drive cycles are determined when dynamic programming determines the optimal current drawn from the fuel cell system. The different hy...

In the automotive industry driving cycles have been used to evaluate vehicles in different perspectives. If a vehicle manufacturer focuses only on a fixed driving cycle there is a risk that controllers of the vehicle are optimized for a certain driving cycle and hence are sub-optimal solutions to real-world driving. To deal with this issue, it is beneficial to have a method for generating more ...

Real-time drive cycles and driving trends have a vital impact on fuel consumption and emissions in a vehicle. To address this issue, an original and alternative approach which incorporates the knowledge about real-time drive cycles and driving trends into fuzzy logic control strategy was proposed. A machine learning framework called MC_FRAME was established, which includes two neural networks f...

using the cropping operations program can significantly save fuel consumption and energy efficiency. prediction of the accurate amount of fuel requirements for tillage operation of the soil is difficult. changes in humidity, soil type and tillage depth directly affects on the amount of fuel consumption. bulk density of agricultural soils depends on tillage methods, the value of organic matter, ...

Through the fuel consumption test of several listed vehicles in China, basic results cold start under CLTC-P cycle, condition air conditioning on, and off are measured. At same time, differences between NEDC cycle China's certification compared, combined The higher than those procedures Chinese more line with actual driving situation China.

Hybrid vehicle fuel economy and drive quality are coupled through the “Energy Management” controller that regulates power flow among the various energy sources and sinks. Most analytical studies have evaluated closed-loop performance on government test cycles, and there are few results that compare optimal control algorithms to the controllers employed in industry. This second of a two-part pap...

When a person drives a vehicle along a route, he/she optimizes two objectives, the traveling time and the fuel consumption. Therefore, the task of driving can be viewed as a multiobjective optimization problem and solved with appropriate optimization algorithms. The comparison between the driving strategies obtained by humans and those obtained by the algorithms is interesting from several poin...