Real-time hierarchical control strategy design in electric hybrid vehicles

Number of pages: 190 File Format: word File Code: 32250
Year: 2004 University Degree: Master's degree Category: Electrical Engineering
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  • Summary of Real-time hierarchical control strategy design in electric hybrid vehicles

    Master thesis

    Electricity-power

    Pollution in big cities has become an acute issue for years. Expert research shows that the main cause of pollution in cities are cars with internal combustion engines. Combustion vehicles have many disadvantages, among which we can mention things such as dependence on a specific type of energy (oil), production of greenhouse gases, production of toxic gases, noise pollution, low efficiency of the system and, as a result, energy loss. According to the above, electric cars have been introduced since the 1890s and have been popular until the 1930s. With the progress of combustion cars, electric cars were slowly forgotten until in 1960 and later, considering the problems of combustion cars, researchers thought of a solution and started various researches on electric cars. Electric hybrid cars are a generalized type of pure electric cars, in which the disadvantages of pure electric cars have been solved to some extent. In fact, these cars are intermediate between conventional cars with a combustion engine and pure electric cars. The use of a high-efficiency electric engine, the possibility of energy recovery, and the ability to move the working point of the combustion engine to areas with optimal efficiency, have provided a reduction in pollution and an increase in the overall efficiency of these cars.

    Types of hybrid cars

    The energy storage system consists of a power generation unit and a transmission system. Spark internal combustion engines, direct injection combustion engines, gas turbines and fuel cells can play a role as a power generation unit, which can be used to provide the driving force of the vehicle by combining them and using an electric motor.

    For the energy storage unit, flywheels, capacitors, and batteries can be considered. But among these choices, batteries are the most used. The transmission system consists of mechanical gear box, gears, differential, clutch, etc.

    According to the control structure and the method of connecting the components to each other, hybrid cars are divided into the following three categories:

    1-Series hybrid cars

    2- Parallel hybrid cars

    3-Hybrid cars Combined (series-parallel)

    In series cars, the electric motor is the main driving force. In fact, the set of batteries feed the relatively high power electric motor. In a situation where the state of charge of the battery decreases from the lowest allowed value, at this time the combustion engine starts working and by turning the generator, it charges the batteries. It is natural that this action increases the driving range of the car. In this type, the electric motor will charge the batteries in the role of a generator when the car is working in combustion mode only. Depending on the type of control strategy, the electric motor may start working at the beginning (at low speeds) and after that the combustion engine will enter the system. The components of the propulsion system in hybrid hybrid cars are:

    1- Two power generation sources, a combustion engine or fuel cell. Along with a traction motor to create driving force and energy recovery.

    2- Continuously variable transmission system, CVT [1]

    3- An electromagnetic clutch for the power transmission system

    4- A small electric motor to generate electrical energy (charge) and start the combustion engine

    5- Batteries

          How the components of this system are connected in different motion modes, is done by the controller units. Two points that should be taken into consideration about hybrid electric cars, one is the issue of energy recovery in the process of deceleration and braking by the engine.. Two points that should be taken into consideration about hybrid electric cars, one is the issue of energy recovery in the process of deceleration and braking by the electric motor, which can somehow improve energy consumption. The second point is the lack of pollution due to the lack of fuel consumption when stopped. In this case, which is caused by the problem of urban traffic, the car works in electric mode and as a result it will reduce pollution. rtl;">

    Control strategies in hybrid electric vehicles

    Until now, various control strategies have been presented for optimal energy management in hybrid electric vehicles. Control strategies or energy management for hybrid electric vehicles are basically used to meet several objectives at the same time. The first goal is usually to minimize fuel consumption, and trying to reduce pollution and meet the vehicle's drivability is one of the main goals. Regardless of the structure of the electric hybrid vehicle, the main goal of the control strategy is the momentary management of power transfer between energy sources and achieving the main control goals. One of the important characteristics of the control strategy is that the control objectives are mostly integral (fuel consumption and pollution per mile of track) or quasi-local in time (propulsion capability in each time interval). While control functions are local in time. In addition, the control goals are often under integral constraints, such as not keeping the charging state of the batteries in the desired range. The general nature of all objectives and constraints cannot lead to general optimization techniques, because the future is uncertain in a real motion situation. For this purpose, there are some methods that build the control strategy based on the results of general optimization on a predetermined cycle. But these methods do not directly lead to practical implementation, because the main problem with the overall optimization criterion is that the entire driving program must be predetermined, and in this case, the real-time control strategy is not easily implemented. For this purpose, in this thesis, according to the complexity of the drive system of the electric hybrid car, a hierarchical control strategy for the electric hybrid car has been investigated. For this purpose, first the dynamic modeling of the subsystems is done, then for each of the subsystems, the corresponding local controller is designed. After that, to achieve the performance goals, the switching strategy between the subsystems is designed to achieve the real-time control strategy. 

    The content of the following chapters

    The main goal of this thesis is to achieve a real-time control strategy for electric hybrid vehicles. For this purpose, the existing control strategies have been identified in the first chapter. In the second chapter, due to the fact that smart methods have been used in this thesis, smart control strategies have been examined. In the third chapter, the hierarchical control structure of the electric hybrid vehicle as a hybrid system has been investigated with emphasis on the dynamic modeling of subsystems. In the fourth chapter, the design of the hierarchical intelligent control strategy for the electric hybrid car is discussed, and in the fifth chapter, the real-time hierarchical control strategy for the electric hybrid car and its simulation are explained. Control strategies for hybrid electric vehicles are usually aimed at several simultaneous objectives. The primary one is usually the minimization of the vehicle fuel consumption, while also trying to minimize engine emissions and maintaining or enhancing driveability. Regardless of the topology of the vehicle, the essence of the HEV control problem is the instantaneous management of the power flows from more devices to achieve the overall control objectives.

  • Contents & References of Real-time hierarchical control strategy design in electric hybrid vehicles

    List:

    1- Introduction. 1

    2-    Humidity in the transformer and its effect on insulation life. 4

    2-1- The importance of drying the transformer insulation 4

    2-2- The causes of moisture production in the transformer and its effect on the insulation. 8

    2-3- Methods of measuring humidity in solid insulation. 14

    2-3-1- Direct method. 14

    2-3-2- Indirect methods. 14

    2-4- Aging and determining the transformer insulation life 19

    2-5- Determining the life of the transformer with hot spot temperature. 21

    3- An overview of transformer insulation drying methods 23

    3-1- The role of heat and vacuum in the drying process. 23

    3-2- Various methods of drying transformer insulation 24

    3-2-1- Method of using vacuum. 25

    3-2-2- Hot air method. 26

    3-2-3- Heat and vacuum method. 27

    3-2-4- Oil circulation method. 28

    3-2-5- Vapor phase drying method 29

    3-2-6- Low frequency heating method. 30

    3-3- Comparison of insulation drying methods. 34

    3-3-1- Comparison in terms of moisture absorption speed. 34

    3-3-2- Comparison of required energy, time and cost in different methods. 36

    3-3-3- Comparison of oil circulation method combined with vacuum and low frequency heating method. 37

    4-1- Paul Whetstone method with voltage transformer 38

    4-2- Four wire measurement method with low pass filter 39

    4-3- Measurement of transformer resistance in low frequency heating device. 40

    5- Upgrading the control system. 41

    5-1- TMS320F2812 processor specifications. 42

    5-2- Modification of control boards. 44

    5-3- Calibration of sensors 44

    5-3-1- Measurement of primary resistance of transformer windings 44

    5-3-2- Implementation of resistance measurement in several working points 46

    5-3-3- Software design to calibrate sensors 47

    5-4- Current closed loop control. 49

    5-4-1- Flow controller design. 51

    5-4-2- Flow controller simulation using effective value calculation block 61

    5-4-3- Flow controller test. 62

    5-4-4- Adjusting controller parameters 64

    5-5- Soft start-up. 66

    5-5-1- Optimum determination of the controller state change moment in soft startup. 66

    5-5-2- Laboratory results in soft start-up. 67

    6- Measuring the resistance of transformer windings 69

    6-1- Measuring the power of transformer windings 69

    6-1-1- How to calculate power in the old method. 70

    6-1-2- Power calculation in the new method. 71

    6-2- Phase resistance imbalance 77

    6-2-1- Star connection 78

    6-2-2- Triangle connection (D11) 82

    6-3- Simulation results. 86

    6-4- Laboratory results. 90

    6-5- Examining other states of imbalance. 93

    7- Conclusions and suggestions. 96

    7-1- Conclusion. 96

    7-2- Proposals. 97

    List of sources. 99

    8-    Appendix: set of experiments 106

    8-1- Modification of control parameters. 106

    8-2- Series of tests 109

    8-2-1- Laboratory results in the measurement of primary resistance. 109

    8-2-2- Laboratory results in the evaluation of closed-loop flow control. 112

    8-2-3- Practical results for soft launch. 113

    8-2-4- Measuring the resistance of windings 116

    Source:

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Real-time hierarchical control strategy design in electric hybrid vehicles