Optimization and realization on the coordination control strategy for auxiliary power unit of range-extended electric vehicle

2021 ◽  
pp. 095440702110669
Author(s):  
Hanwu Liu ◽  
Yulong Lei ◽  
Yao Fu ◽  
Xingzhong Li
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pid Control ◽  
Working Condition ◽  
Control Strategies ◽  
Control Model ◽  
Torque Control ◽  
Coordination Control ◽  
Auxiliary Power Unit ◽  
Auxiliary Power

The auxiliary power unit (APU) is a major power source of range-extended electric vehicle (R-EEV). Excellent coordination control strategy of APU has a great significance impact on improving the overall electrical control system performance of R-EEV. A coordination control strategy based on parameters adapt fuzzy-PID is proposed to ensure the dynamic and static response characteristics of the coordination control system. Firstly, the APU high precision simulation control model is built in GT-Power and Matlab-Simulink. Three coordination control strategies based on traditional PID control method are designed, namely, engine speed control model (ESCM), generator torque control model (GTCM), and APU speed-torque control model (AS-TCM). The three coordination control strategies are simulated on working conditions, which include start-up working condition, power raised working condition, and power reduced working condition. Combined with the PID control principle, the control performance and inherent limitations of three traditional PID control strategies (TPCS) are analyzed and compared. Then, according to the above simulation results of analysis and comparation, the parameters adapt fuzzy-PID control strategy (PAF-PCS) is designed and simulated. The results show that three control parameters ( kp, ki, kd) are changed in real time to ensure the flexibility and adaptability of the control system and improve the stability and robustness of control system. Finally, the results of bench test show that power responds quickly and no oscillation and fixed-point power generation works smoothly, which are basically consistent with the simulation results. Therefore, the PAF-PCS proposed in this paper has good feasibility and effectiveness.

Research on Fuzzy-PID Control for a Tension System of Rotary Magnetorheological Damper

2009 ◽  
Vol 16-19 ◽  
pp. 93-99
Author(s):  
Li Yong Hu ◽  
A Liang Chen
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pid Control ◽  
Fuzzy Inference ◽  
Control Strategies ◽  
Tension Control ◽  
Magnetorheological Damper ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Tension Control System

A rotary MRF (magnetorheological fluids) damper is introduced in tension control systems. An experimental tension control system is designed by using the MRF damper as tension control actuator. Control strategies of the tension control system are studied. A fuzzy-PID feedback controller for the tension control system is constructed and tested, where the variable parameters of the PID were modified by using the fuzzy inference rules. Experimental results indicate that the fuzzy-PID control strategy can be used in the tension control system to get better performance than the conventional PID control strategy.

Modeling and Simulation of the Auxiliary Power System in Extended Range Electric Vehicle

2013 ◽  
Vol 397-400 ◽  
pp. 1858-1862 ◽  
Author(s):  
Ling Shan Chen ◽  
Xiao Le Wang ◽  
Xiang Er Huang ◽  
Pin Gan ◽  
Wei Cheng
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Power Unit ◽  
Engine Speed ◽  
Torque Control ◽  
Decoupling Control ◽  
Vehicle Simulation ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Extended Range

To study the performance of auxiliary power unit in extended range electric vehicle, simulation model of auxiliary power unit and its control system are established with MATLAB/Simulink. The method of decoupling control achieved engine speed control and generator torque control. Finally actual power responds change of required power quickly.

The Design of APU(Auxiliary Power Unit) Control Strategy

2013 ◽  
Vol 724-725 ◽  
pp. 1440-1443
Author(s):  
Ling Shan Chen ◽  
Xiang Er Huang ◽  
Pin Gan ◽  
Wei Cheng
Keyword(s):  
Power Unit ◽  
Control Strategy ◽  
Pid Control ◽  
Control Algorithm ◽  
Bench Test ◽  
Control Torque ◽  
Auxiliary Power Unit ◽  
Power Simulation ◽  
Auxiliary Power ◽  
Entire Vehicle

APU(Auxiliary Power Unit) control strategy was designed by the target of actual output power following the demanded power and the fuel consumption minimum. The preset demanded power of the entire vehicle has been decoupling controlled, using PID control algorithm to control the speed of the engine and vector control algorithm to control torque of generator, to realize decoupling control of the demanded power. Simulation result and bench test verified control strategy and achieved the goal of vehicle fuel saving 20% by nine “NEDC” cycles.

scholarly journals Powering Mode-Integrated Energy Management Strategy for a Plug-In Hybrid Electric Truck with an Automatic Mechanical Transmission Based on Pontryagin’s Minimum Principle

2018 ◽  
Vol 10 (10) ◽  
pp. 3758 ◽  
Author(s):  
Shaobo Xie ◽  
Xiaosong Hu ◽  
Kun Lang ◽  
Shanwei Qi ◽  
Tong Liu
Keyword(s):  
Dynamic Programming ◽  
Power Unit ◽  
Energy Management ◽  
Control Strategy ◽  
Minimum Principle ◽  
Mechanical Transmission ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Pontryagin's Minimum Principle ◽  
Hybrid Electric

Pontryagin’s Minimum Principle (PMP) has a significant computational advantage over dynamic programming for energy management issues of hybrid electric vehicles. However, minimizing the total energy consumption for a plug-in hybrid electric vehicle based on PMP is not always a two-point boundary value problem (TPBVP), as the optimal solution of a powering mode will be either a pure-electric driving mode or a hybrid discharging mode, depending on the trip distance. In this paper, based on a plug-in hybrid electric truck (PHET) equipped with an automatic mechanical transmission (AMT), we propose an integrated control strategy to flexibly identify the optimal powering mode in accordance with different trip lengths, where an electric-only-mode decision module is incorporated into the TPBVP by judging the auxiliary power unit state and the final battery state-of-charge (SOC) level. For the hybrid mode, the PMP-based energy management problem is converted to a normal TPBVP and solved by using a shooting method. Moreover, the energy management for the plug-in hybrid electric truck with an AMT involves simultaneously optimizing the power distribution between the auxiliary power unit (APU) and the battery, as well as the gear-shifting choice. The simulation results with long- and short-distance scenarios indicate the flexibility of the PMP-based strategy. Furthermore, the proposed control strategy is compared with dynamic programming (DP) and a rule-based charge-depleting and charge-sustaining (CD-CS) strategy to evaluate its performance in terms of computational accuracy and time efficiency.

scholarly journals Design and Test Evaluation of Full Authority Digital Electronic Control System for an Auxiliary Power Unit

2018 ◽  
Vol 36 (6) ◽  
pp. 1102-1107
Author(s):  
Kai Peng ◽  
Fan Yang ◽  
Ding Fan ◽  
Linfeng Gou ◽  
Hongliang Xiao ◽  
...  
Keyword(s):  
Control System ◽  
Power Unit ◽  
Digital Control ◽  
Electronic Control ◽  
Digital Control System ◽  
Control Laws ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Electronic Control System ◽  
Key Techniques

A helicopter auxiliary power unit (APU) is initially equipped with a hydro-mechanical control system (HMC). Because HMC's complex structure is difficult to be modified to realize sophisticated control algorithms and the APU is faced with the need for performance improvement, it is urgently necessary to carry out digital control modification of HMC. Based on the analysis of control laws of the original HMC and differences between HMC and digital control system, key techniques involved in the digital control system are studied, such as overall structure, control laws and fuel system based on electric fuel pump, and finally a full authority digital electronic control system (FADEC) is developed for APU. Functions, performances and key techniques of the FADEC system are evaluated on test rig, and the test results show functions of original control system are enhanced and performances of APU are improved more effectively under the control of the designed FADEC compared with the original HMC.

scholarly journals Fuzzy Coordination Control Strategy and Thermohydraulic Dynamics Modeling of a Natural Gas Heating System for in Situ Soil Thermal Remediation

Entropy ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. 971 ◽  
Author(s):  
Zhai ◽  
Yang ◽  
Li ◽  
Jiang ◽  
Ye ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Control Strategy ◽  
Control Strategies ◽  
Heating System ◽  
Coordination Control ◽  
Gas Heating ◽  
Thermal Remediation ◽  
Reduce Energy Consumption

Soil contamination remains a global problem. Among the different kinds of remediation technologies, in situ soil thermal remediation has attracted great attention in the environmental field, representing a potential remedial alternative for contaminated soils. Soils need to be heated to a high temperature in thermal remediation, which requires a large amount of energy. For the natural gas heating system in thermal remediation, a fuzzy coordination control strategy and thermohydraulic dynamics model have been proposed in this paper. In order to demonstrate the superiority of the strategy, the other three traditional control strategies are introduced. Analysis of the temperature rise and energy consumption of soils under different control strategies were conducted. The results showed that the energy consumption of fuzzy coordination control strategy is reduced by 33.9% compared to that of the traditional control strategy I, constant natural gas flow and excess air ratio. Further, compared to the traditional control strategy II, constant excess air ratio and desired outlet temperature of wells, the strategy proposed can reduce energy consumption by 48.7%. The results illustrate the superiority of the fuzzy coordination control strategy, and the strategy can greatly reduce energy consumption, thereby reducing the cost of in situ soil thermal remediation.

Study of the Electricity-Draw Control System in Electrical Engineering Based on Neural Network DTC

2013 ◽  
Vol 676 ◽  
pp. 209-212
Author(s):  
Lu Huan Shi ◽  
Yao Hui Li
Keyword(s):  
Neural Network ◽  
Control System ◽  
Control Strategy ◽  
Dynamic Performance ◽  
Asynchronous Motor ◽  
Sudden Change ◽  
Direct Torque Control ◽  
Torque Control ◽  
Electric Locomotive ◽  
Low Velocity

In the electricity draws control system, the change of Low-velocity area of Rs will bring about a series of problem, especially the stator current and flux, will cause the distortion of the speed pulse vibration. The test discussed control scheme and optimization designs of asynchronous draw motors from exchange transmission electric locomotive operation characteristic demand. It adopts control strategy of neural network direct torque control (DTC) to control electricity draw the locomotive, to analyze the reacting of starting and sudden change of load, verifying this method may effectively improve the dynamic performance of the asynchronous motor, got up the very good inhibitory action to the low speed area torque pulsation. Thus the simulation results have proven the neural network DTC control strategy feasibility.

Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Direct Torque Control ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Ac Induction Motor

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

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