Sharif Digital Repository

The final target of this research is to design an appropriate intelligent control strategy for energy management purposes in a well designed parallel hybrid electric vehicle. In the first step, the conventional “Samand” vehicle has been simulated using real data for vehicle parameters and power train components, has been simulated. Using experimental results, simulation results are validated. In the second step due to the primarily defined parallel electric assist control strategy (PEACS) for the hybrid electric vehicle and performance requirements, components such as engine, electric machine and battery pack were selected and sized. In the final step a Fuzzy Logic Controller (FLC) has been... 

Constantly rising fossil fuel consumption and the resulting air pollutants have caused hybrid electric vehicles to be considered as the most efficient mid-term solution for decreasing problems resulting from environmental pollutions and rising fuel prices. Various types of hybrid electric vehicles and power transmission schemes are studied in this thesis. Electric motors utilized in electric vehicles and hybrid electric vehicles such as induction motor, brushless permanent magnet motor, DC motor and switched reluctance motors are investigated based on previous studies and researches, and are compared for all basic criteria. For completing the comparison procedure and selecting the most... 

Energy management in vehicles is ann important issue, because it can significantly influence the performance of the vehicles and component sizing., Although the bbatteries have been widely used in electric vehicles (EVs), However the large current impact of battery cycle life is still a difficult problem that remains to be resolved and because of that, Hybrid Electric Vehicles (HEVs) areis the way that allows to to achievinge the advantages of both engines.Hybrid cars uses both an electric motor and internal combustion engine (ICE) used together, so, itwhich can benefit from the advantages of both engine types. ImprovImprovement ofing energy management in (HEVs) can providedeliver important... 

A well-designed Control Strategy (CS) in Hybrid Electric Vehicles (HEVs), as the manager of energy flow, reduces the fuel consumption and/or air pollution, while keeps an eye for prolonging the components lifetime. In this regard, the present thesis provides a new CS for parallel HEVs, based on emotional learning. It is noteworthy that the controller consists of a Takagi-Sugeno-Kang (TSK) fuzzy system and a critic. The driver’s torque command, State of Charge (SOC) error, Internal Combustion Engine (ICE) brake torque error and its time derivative constitute the controller inputs, while the output is the ICE torque command. The critic produces two stress signals based on HEV’s battery and ICE... 

In this research, the mechanical section of a reduced-scale hybrid vehicle simulator was designed and fabricated. In order to scale down the vehicle dynamics, a method based on dimensional analysis was proposed. An internal combustion engine and an electric motor were selected as power sources and then, scaling was performed, according to the specifications of the combustion engine. Afterwards, the power transmission system was designed first in concept and then in more detail. Finally, the design was manufactured and assembled. The study was made in conjunction with another study responsible for the controlling section of the work, conducted by Safabakhsh The sponsor of these two researches... 

Nowadays, according to environmental issues and fuel economy in internal combustion engines, the tendency to use of electrical and hybrid-electrical propulsions has become more than the past. On the other hand, still there are some problems like distance and charge time in electrical propulsions. Among them there are Hybrid-electric propulsions that have the benefits of two other propulsions. These propulsions are classified into three categories: series, parallel and series-parallel.Propulsion hybridization will change the cooling system. Internal combustion engine, electric motors, inverter and batteries operate at different temperature levels. So more than one cooling circuit with its own... 

As far as reliable supply and cost-effective methods of power delivery to end-users are concerned, new advancements in smart grids and, in particular, smart pricing are of high significance to grid operators. In the recent decade, there has been a considerable raise in penetration of renewable energy resources and also the number of hybrid electric vehicles which can act as a huge mobile storage in the network. Hence, finding a practical and cost-effective method of management of all these new resources and avoiding potential problems associated with them seems to be of high importance. In this study, first, the response of demand to pricing signals has been modeledAfterwards, the response... 

In the recent years, increasing concerns about the environmental issues necessitatecientists and industrial people to introduce clean and zero emissions vehicles to the global market. Relying on this acute demand,Hybrid Electric Vehicles (HEVs) are knownas one potential solution to lessen the negative effects of transportation industry on ecological systems.HEVs combine an Internal Combustion Engine (ICE) with an Electric Motor/Generator (EMG) and an Energy Storage System (ESS) to produce a fuel efficient and low or zero pollutant powertrain. Increasing the number of components in the powertrain requires a sophisticated strategy to control all drive-line components suitably. Surely, the best... 

Hybrid electric vehicles (HEV) are proving to be one of the most promising innovations in advanced transportation systems to reduce air pollution and fossil fuel consumption. EMS is one of the most vital aspects of the HEV powertrain system. This research aims to design an optimal EMS under the condition of meeting the goals of drivability control, fuel consumption reduction, and battery charge stability. The current EMS is based on the classical rule-based method derived from fuzzy logic, which guides to the suboptimal solution in episodic driving cycles. Previous experiences in implementing Reinforcement Learning (RL) suffer from late convergence, instability in tracking the driving... 

Growing consumer expectations, legislation pushing for lower emissions, increasing fuel prices, and the fact that petroleum is a finite resource are factors leading to groundbreaking changes in the automotive industry. Design and production of vehicles that use the lowest fuel are the most effective ways to reduce pollution. The use of both ICE and EM increases the complexity of HEV power management and advanced power management policy is required for achieving higher performance and lower fuel consumption. In this study, at first the benefits of series-parallel configuration are discussed comparing to other configuration. According to this, the present thesis provides a control strategy for... 

Air pollution has been one of the most important problems in Tehran in recent years. So that the number of deaths due to air pollution in Tehran reaches more than 7000 cases per year. More than 75% of air pollutant emissions in Tehran city (including 60% of PM2.5 emissions) originate from mobile sources. Considering the harmful effects and damages caused by air pollutants, it is important to examine and evaluate the effects of hybrid-electric vehicles on the emissions of the transportation sector and air quality, especially in areas with a large population and realized high traffic load. On the other hand, the continuous reduction of renewable electricity production costs makes electricity a...