Sohel Anwar

Optimal energy management for a plug-in hybrid electric vehicle: Real-time controller

A converted Toyota Prius 2007 plug-in hybrid electric vehicle (PHEV) uses additional large capacity battery, so that it can enhance the pure electric drivability and increase its electric range. To accomplish real time energy distribution management system in this PHEV, firstly, a specific model is established which contains most of the powertrain properties and partly vehicle dynamics. Secondly, an optimal control problem with inequality constraints is analyzed and formulated mathematically. Thirdly, the particle swarm optimization (PSO) is applied to search for global near-optimum at each time interval. However, PSO is time-consuming so it can be used only as an off-line controller. To overcome this drawback neural network is designed to get sub-optimal real-time controller by employing the near-optimal results obtained from aforementioned PSO. Finally, all the results which are obtained from the PSO and the neural network are then simulated on PSAT (Powertrain System Analysis Toolkit), a standard vehicle simulation software. In the end, the results are compared which show that the real-time controller using neural network could get good sub-optimal results without sacrificing any vehicle performance of vehicle.

Modeling of a hydraulic wind power transfer system uitilizing a proportional valve

Hydraulic circuits can transfer remarkable amount of energy in the desired direction without taking large space. To implement this technology for harvesting energy of wind appropriately, models of the system are required. Hydraulic wind power technology has benefits of eliminating expensive and bulky variable ratio gearbox and its costly maintenance while enabling the integration of multiple wind turbines. In this paper, the dynamics of different hydraulic elements are studied, nonlinearities are taken into account, pressure dynamics in different parts of the system are studied, and the motor load effects are considered. Ultimately, a non-linear state space representation of the system is introduced. Results of the mathematical model and the Matlab SimHydraulics model are compared to verify of the proposed model. The comparison demonstrates that the mathematical model captures major functions of the hydraulic circuit and can model the system behavior under different operating conditions.

Modeling of a Hydraulic Wind Power Transfer Utilizing a Proportional Valve

Hydraulic circuits can transfer remarkable amounts of energy in the desired direction without taking large space. To implement this technology for harvesting the energy of wind appropriately, models of the system are required. Hydraulic wind power technology has the benefits of eliminating expensive and bulky variable ratio gearbox and its costly maintenance, while enabling the integration of multiple wind turbines in a single generation unit. In this paper, the dynamics of different hydraulic elements are studied, nonlinearities are taken into account, pressure dynamics in different parts of the system are studied, and the motor load effects are considered. Based on these considerations, a novel nonlinear state-space representation of the system is introduced. Results of the mathematical model and the experimental data are compared to verify the proposed model. The comparison demonstrated that the mathematical model captures all major characteristics of the hydraulic circuit and can model the system behavior under different operating conditions.

Stability analysis of the hydraulic wind energy transfers model

Gearless hydraulic wind power transfers are considered noble candidates for wind energy harvesting. In this method, high-pressure hydraulics is utilized to collect the energy of multiple wind turbines and transfer it to a central generation unit. The mathematical model of the gearless wind energy transfer system is described in the previous literature. This paper determines the stability of the mathematical model by careful assessment of the state-space representations of the model of the hydraulic system. The existence of limit cycle is investigated for the nonlinear model and the equilibrium point of the system is calculated. The results show that both linear and nonlinear models are stable.

Failure Detection of Rotary Electronic Fuel Control (EFC) Valves via Fuzzy Pattern Classification

In this paper, a mathematical model has been developed and later combined with dynamic performance test methodology to investigate and understand the dynamic characteristics of different types of rotary Electronic Fuel Control (EFC) valves. The model takes into account the dynamics of the electrical and mechanical portions of the EFC valves. A recursive least squares (RLS) type system identification methodology has been utilized to determine the transfer functions of the different types of EFC valves that were investigated. Methods have been used both in frequency domain as well as time domain. Based on the characteristic patterns exhibited by the EFC valves, a fuzzy logic based pattern classification method was utilized to identify faulty EFC valves from good ones. The developed methodology was shown to provide robust diagnostics for a wide range of EFC valves.Copyright