The electric power system of a modern vehicle has to supply enough electrical energy to drive numerous electrical and electronic systems and components. The electric power system of a vehicle consists of two major components: an alternator and a battery. A detailed understanding of the characteristics of the electric power system, electrical load demands and the operating environment, such as road conditions and vehicle laden weight, is required when the capacities of the generator and the battery are to be determined for a vehicle. In this study, a battery-alternator system has been developed and simulated in MATLAB/Simulink, and data obtained from vehicle tests have been used as a basis for validating the models. This is considered to be a necessary rst step in the design and development of a new 42 V power supply system.
Electrical power requirements for vehicles continue to increase. Future vehicle applications require the development of reliable and robust power supply strategies that operate over various ambient temperatures and driving conditions. Insufficient charge balance is one of the major concerns for conventional lead-acid battery systems when operated with limited charging times during short journeys or extreme climate conditions. For vehicle power supply analysis, a detailed understanding of the operational characteristics of the major components and how they interact as a part of the electric power system, including environmental and road conditions, is essential if the analysis is to aid system optimization. This paper presents a model based technique that enhances the process of vehicle electrical power system design. Vehicle system optimization using virtual prototypes has become critically important as more electrical features are added to future vehicles. Real vehicle data has been used to validate the models performance against specific design acceptance criteria. The validation measurements have been performed for different battery and ambient temperature conditions in order to demonstrate the accurate prediction of the simulation and modeling approach.
Throughout the history of the automotive industry, the average load on the electrical system has been increasing model year by model year. The main driver of this trend has been the increasing use of electric power due to the increasing level of equipment on the average vehicle. The electric power system of a modern vehicle has to supply enough electrical energy to drive numerous electrical and electronic systems and components. Usually, the electric power system of a vehicle consists of two major components, an alternator and a battery, with supplementary control systems sometimes used to aid system operation. For vehicle power supply analysis, a detailed understanding of the operational characteristics of the major components and how they interact as a part of the electric power system, including environmental and road conditions, is essential if the analysis is to aid system optimization. In this study, a simulation tool has been developed using SABERA® to enhance the process of vehicle electrical power system design, development, and optimization, which is becoming important as more electrical features are added to future vehicles.
Use of combined cycle power generation plant has increased dramatically over the last decade. A supervisory control approach based on a dynamic model is developed, which makes use of proportional-integral-derivative (PID), fuzzy logic and fuzzy PID schemes. The aim is to minimize the steam turbine plant start-up time, without violating maximum thermal stress limits. An existing start-up schedule provides the benchmark by which the performance of candidate controllers is assessed. Improvements regarding possible reduced start-up times and satisfaction of maximum thermal stress restrictions have been realized using the proposed control scheme.
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