HECEAL - English Version

複合動力控制與節能應用實驗室

國立臺北科技大學綜合科館 B10-32, 33研究室 Tel : 02-27712171 #3662

■ Introduction

Hybrid Electric Control and Energy-saving Application (HECEA) Laboratory, located in the Complex Building B10-32 of NTUT, Taipei, Taiwan, was established in 2021. We focus on the developments of hardware in-the loop and energy management control for green vehicle and hybrid power/energy applications. We welcome students who are interested in the vehicle control and electromechanical integration with their practical applications.

■ Advisor

Chien-Hsun Wu was born in New Taipei City, Taiwan in 1979. He received the Ph.D. degree in the Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu City, Taiwan in Jul. 2010. From Jul. 2008 to Jan. 2014, he was an R&D engineer and project leader in the Mechanical and Mechatronics Systems Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan. From Feb. 2014 to Jan. 2018, he was an assistant professor in the Department of Vehicle Engineering, National Formosa University, Yunlin, Taiwan. From Feb. 2018 to Jan. 2021, he was an associate professor at the same university. Currently, he is an associate professor in the Department of Vehicle Engineering, National Taipei University of Technology, Taipei, Taiwan. His main research interests are in the areas of system simulation, energy storage system analysis, hardware in-the-loop , and vehicle power management and control.

■ Research Achievements

6. Energy Management System and Hardware-in-the-loop for Three Power Source of Heavy-duty Motorcycle

Abstract—This study mainly develops a hardware-in-the-loop (HIL) platform for three power source of heavy-duty motorcycle. The rule-based control is utilized for the energy management among three power sources. A low-order motorcycle dynamics is constructed including subsystems such as the spark-ignition engine, high-power traction motor, integrated starter-generator (ISG), high-power battery module, continuously variable transmission (CVT), longitudinal vehicle dynamics, etc. Three inputs are the battery state-of-charge (SOC), required torque and engine speed. Three outputs are torque commands for the engine, the motor, and the ISG. The system model and the energy management system are integrated for on-line simulation. The verified models of control strategy and the vehicle dynamics are downloaded to two real-time simulators for the close-loop control with A/D-D/A interface. Simulation results show that the vehicle model details the dynamics of key components. This HIL platform can be used for rapid prototyping for vehicle control unit (VCU) designs of heavy-duty motorcycle. The general vehicle model can be extended to various power-level vehicles with multi-power sources.

5. System Design and Control Development for an Active Onboard Refueling Vapor Recovery System of Scooter

Abstract—This paper aims at developing a system design and control development for an active onboard refueling vapor recovery (ORVR) system of scooter. As recommended by the literatures, if the percentage of the ORVR-equipped scooters is higher than 70%, gas recovery system for gas stations is not required.

Step 1. Install ORVR on a scooter, and then compare its emission control performance with Stage II vapor recovery system.

Step 2. Develop passive ORVR components for scooter, including fuel tank, carbon canister, vapor pipe, fuel limit vent valve (FLVV), and surge protector.

Step 3. Develop active ORVR components for scooter, combining step 2. with electronic control, includes: solenoid valve, electronic control module (ECM), related connectors and consumables, follow-up will be planning motorcycle vapor pollution test of American.

4. Optimal Dynamic Control for Energy Management System of an Internal Combustion Engine Vehicle

Abstract—This paper aims at developing a test bench with a power source including an internal combustion engine, used to measure the performance curves and characteristics. The Matlab/Simulink and Carsim software package are utilized to construct a corresponding simulator of the internal combustion engine for analyzing the vehicle performance, consisting of modules of engine, transmission, vehicle dynamics load, energy management strategy, and driving patterns. The global search algorithm (GSA) is developed for energy management. Based on the developed test bench and the simulator, the constant velocity and steering sensitivity are conducted. The results show that the simulation data for optimal dynamic control are improved fuel consumption from the test bench. It can be confirmed that adopting this well-developed simulation platform and methodology for performance verification can significantly reduce the development time and cost consumed by trial-and-error experiments.

3. Optimal Energy Management for an Air/Electric Hybrid Scooter

Abstract— For environmental protection, this paper aims at developing a hybrid air/electric simulator with the performance data retrieved from a designed test bench. This experimental bench includes a four-blade air motor and a servo motor for the purpose of measuring the performance curves and output characteristics. The Matlab/Simulink software package was utilized to construct a simulator for analyzing the vehicle performance, which consisted of modules of air motor, servo motor, lithium battery, transmission, energy management strategy, and driving patterns. Three control laws, the rule-based control, fuzzy control and equivalent consumption minimization strategy (ECMS), were developed for air/electric energy management. Based on the developed test bench and the simulator, the parameter calibration and rule modification were easily conducted. Simulation results show that the variation of key parameters, the output performance, and the energy consumption can be precisely analyzed. This well-developed simulation and methodology for performance verification can significantly reduce the development time and cost by trial-and-error experiments.

2. System Design and Control Development for an Air/Electric Hybrid Scooter

Abstract— This paper aimed at developed a power source with the combination of an air motor and a servo motor. The test bench was used to measure the performance curves and characteristics. The Matlab/Simulink software package was to establish the simulator of the air/electric hybrid powertrain while to analyze the vehicle performance. This research studied the air motor module, the servo motor module, the lithium battery module, the transmission, the energy management strategy, and the driving patterns. The rule-based control strategy was developed; the parameter calibration and rule modification were conducted. The results of simulation and data from the real test were consistent, which indicated that this simulation platform and this approach of performance verification reduces the development period and the cost of trial-and-error experiments.

1. Rapid-Prototyping Designs for the Three-Power-Source Hybrid Electric Scooter with a Fuzzy-Control Energy Management

Abstract—This study mainly develops a hardware-in-the-loop (HIL) platform for a hybrid electric scooter (HES). The fuzzy control strategy is utilized for the energy management among three power sources. A low-order scooter dynamics is constructed including subsystems such as the spark-ignition engine, high-power traction motor, integrated starter-generator (ISG), high-power battery module, transmission, longitudinal vehicle dynamics, etc.. For energy management of three power sources, the 73-rule fuzzy control is designed and compared to the traditional rule-based control. Three inputs are the battery state-of-charge (SOC), required torque and engine speed. Three outputs are torque commands for the engine, the motor, and the ISG. The system model and the energy management system are integrated for off-line simulation then. The verified models of control strategy and the vehicle dynamics are downloaded to two real-time simulators for the close-loop control with A/D D/A interface. Simulation results show that the vehicle model details the dynamics of key components, while the energy consumptions of these two control modes are nearly 170kJ under ECE40 driving cycle. This HIL platform can be used for rapid prototyping for vehicle control unit (VCU) designs of HES. The general vehicle model can be extended to various power-level hybrid vehicles with three power sources.

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