Design of HIL Test System for VCU of Pure Electric Vehicle

Similar documents
Study on Braking Energy Recovery of Four Wheel Drive Electric Vehicle Based on Driving Intention Recognition

Experiment and Modeling Study on Battery Performance

The Assist Curve Design for Electric Power Steering System Qinghe Liu1, a, Weiguang Kong2, b and Tao Li3, c

The Modeling and Simulation of DC Traction Power Supply Network for Urban Rail Transit Based on Simulink

The research on gearshift control strategies of a plug-in parallel hybrid electric vehicle equipped with EMT

Torque Management Strategy of Pure Electric Vehicle Based On Fuzzy Control

Modal Analysis of Automobile Brake Drum Based on ANSYS Workbench Dan Yang1, 2,Zhen Yu1, 2, Leilei Zhang1, a * and Wentao Cheng2

China. Keywords: Electronically controled Braking System, Proportional Relay Valve, Simulation, HIL Test

Parametric Design and Motion Analysis of Geneva Wheel Mechanism Based on the UG NX8.5

The Design of Vehicle Tire Pressure Monitoring System Based on Bluetooth

Advances in Engineering Research (AER), volume 102 Second International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2017)

Workbench Film Thickness Detection Based on Laser Sensor Mo-Yun LIU, Han-Bing TANG*, Ma-Chao JING, and Zhen ZHOU

Research of the vehicle with AFS control strategy based on fuzzy logic

The Testing and Data Analyzing of Automobile Braking Performance. Peijiang Chen

World Scientific Research Journal (WSRJ) ISSN: Multifunctional Controllable and Detachable Bicycle Power Generation /

A Device for Sorting and Recycling Dry Batteries Automatically Jiahang Xia

Regenerative Braking System for Series Hybrid Electric City Bus

Advances in Engineering Research, volume 93 International Symposium on Mechanical Engineering and Material Science (ISMEMS 2016)

The design and implementation of a simulation platform for the running of high-speed trains based on High Level Architecture

Multi-axial fatigue life assessment of high speed car body based on PDMR method

Design of Control System for Vertical Injection Moulding Machine Based on PLC

Tooth Shape Optimization of the NGW31 Planetary Gear Based on Romax Designer

VEHICLE DYNAMICS BASED ABS ECU TESTING ON A REAL-TIME HIL SIMULATOR

Grouped and Segmented Equalization Strategy of Serially Connected Battery Cells

Intelligent CAD system for the Hydraulic Manifold Blocks

Design of Damping Base and Dynamic Analysis of Whole Vehicle Transportation based on Filtered White-Noise GongXue Zhang1,a and Ning Chen2,b,*

2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)

Research on Optimization of Bleed Air Environment Control System of Aircraft Xin-ge WANG, Han BAO* and Kun-wu YE

Structure Parameters Optimization Analysis of Hydraulic Hammer System *

Available online at ScienceDirect. Physics Procedia 67 (2015 )

Available online at ScienceDirect. Procedia Engineering 129 (2015 ) International Conference on Industrial Engineering

International Conference on Advances in Energy and Environmental Science (ICAEES 2015)

Modeling and Simulation of Linear Two - DOF Vehicle Handling Stability

Power Matching Strategy Modeling and Simulation of PHEV Based on Multi agent

Design of Active Safety Warning System for Hazardous Chemical Transportation Vehicle

90. Ignition timing control strategy based on openecu design

A Brake Pad Wear Control Algorithm for Electronic Brake System

A Simulation Model of the Automotive Power System Based on the Finite State Machine

Analysis and Design of Independent Pitch Control System

Analysis and Design of the Super Capacitor Monitoring System of Hybrid Electric Vehicles

Modern Applied Science

Correlation of Occupant Evaluation Index on Vehicle-occupant-guardrail Impact System Guo-sheng ZHANG, Hong-li LIU and Zhi-sheng DONG

Dynamic Characteristics Analysis of H-Type Leg Hydraulic System of. Truck mounted Concrete Pump

Study on State of Charge Estimation of Batteries for Electric Vehicle

Simulation Analysis of Certain Hydraulic Lifting Appliance under Different Working Conditions

Modeling and Analysis of Vehicle with Wind-solar Photovoltaic Hybrid Generating System Zhi-jun Guo 1, a, Xiang-yu Kang 1, b

Available online at ScienceDirect. Physics Procedia 67 (2015 )

A novel synthetic test system for thyristor level in the converter valve of HVDC power transmission

Research on the charging system of electric vehicle photovoltaic cells HUANG Jun ( Hunan Railway Professional Technology College, Zhuzhou, )

Research of Driving Performance for Heavy Duty Vehicle Running on Long Downhill Road Based on Engine Brake

Study on the Performance of Lithium-Ion Batteries at Different Temperatures Shanshan Guo1,a*,Yun Liu1,b and Lin Li2,c 1

Multi-body Dynamical Modeling and Co-simulation of Active front Steering Vehicle

2nd Annual International Conference on Advanced Material Engineering (AME 2016)

An Energy Efficiency Measurement Scheme for Electric Car Charging Pile Chun-bing JIANG

Simulation research on rail transit traction grid voltage stabilization and its energy saving effects based on BESS

Parameters Matching and Simulation on a Hybrid Power System for Electric Bulldozer Hong Wang 1, Qiang Song 2,, Feng-Chun SUN 3 and Pu Zeng 4

Engine Control Strategy for AMT Upshifting of Commercial Vehicle

3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)

Development of Fuel Injection System for Non-Road Single-Cylinder Diesel Engine

China Electric Power Research Institute, Beijing, , China

An Analysis of Electric Inertia Simulation Method On The Test Platform of Electric Bicycle Brake Force Zhaoxu Yu 1,a, Hongbin Yu 2,b

AMT Fault Diagnosis Technology Based on Simulink and LabVIEW

Research on Electric Vehicle Regenerative Braking System and Energy Recovery

Experimental Study on Inlet Structure of the Rod Pump with Down-hole Oil-water Hydrocyclone

The Institute of Mechanical and Electrical Engineer, xi'an Technological University, Xi'an

Experimental Research on the Impact of Lubricating Oils on Engine. Friction and Vehicle Fuel Economy

Experimental Study on Overflow Pipe Structure of the Rod Pump with Down-hole Oil-water Hydrocyclone

Transverse Distribution Calculation and Analysis of Strengthened Yingjing Bridge

Design of Remote Monitoring and Evaluation System for UPS Battery Performance

Research on Sensorless Control Strategy of Motor Controller for Electric Bicycle

Electromagnetic Field Analysis for Permanent Magnet Retarder by Finite Element Method

Using MATLAB/ Simulink in the designing of Undergraduate Electric Machinery Courses

Study on the Control of Anti-lock Brake System based on Finite State Machine LI Bing-lin,WAN Mao-song

Design of closing electromagnet of high power spring operating mechanism

Collaborative vehicle steering and braking control system research Jiuchao Li, Yu Cui, Guohua Zang

Study on Flow Characteristic of Gear Pumps by Gear Tooth Shapes

Simulation Analysis of Automobile Air Suspension Dynamics based on ADAMS Shuai Li 1, Zhongliang Meng 1, Weikai Jiang 2

MODELING AND SIMULATION OF INTERNAL CIRCULATION TWO-PLATEN INJECTION MOLDING MACHINE BASED ON AMESIM

Combination control for photovoltaic-battery-diesel hybrid micro grid system

Feature Analysis on Auto Recalls Caused by Braking System Defects in China

Development and Optimization System of Vehicle Electronic Fuel Injection

Design and Analysis of Hydraulic Chassis with Obstacle Avoidance Function

Hardware-in-the-loop simulation of regenerative braking for a hybrid electric vehicle

Integrated Monitoring System Design of Hybrid Aircompressors

International Conference on Information Sciences, Machinery, Materials and Energy (ICISMME 2015)

Application of PLC in automatic control system in the production of steel. FAN Zhechao, FENG Hongwei

Test platform design for regenerative braking of hub-motor

Zero-turn-off thyristor zero voltage block media recovery analysis of influencing factors FANG Wei1, a*, XU Guo-shun1, b, ZHUANG Jin-wu1, c

Experimental Study on Torsional Vibration of Transmission System Under Engine Excitation Xin YANG*, Tie-shan ZHANG and Nan-lin LEI

Open Access The New Structure Design and Simulation of Preventing Electric Shock Multi-Jacks Socket

United Power Flow Algorithm for Transmission-Distribution joint system with Distributed Generations

The Characteristic Analysis of the Electromagnetic Valve in Opening and Closing Process for the Gas Injection System

Research on vibration reduction of multiple parallel gear shafts with ISFD

The Research of Full Automatic Intelligent Oil Filtering System Based on Flow Totalizer Control

Analysis on natural characteristics of four-stage main transmission system in three-engine helicopter

Design and Experimental Study on Digital Speed Control System of a Diesel Generator

Optimum Matching of Electric Vehicle Powertrain

Validation and Control Strategy to Reduce Fuel Consumption for RE-EV

Research on Damping Characteristics of Magneto-rheological Damper Used in Vehicle Seat Suspension

Optimization of Hydraulic Retarder Based on CFD Technology

Transcription:

2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017) Design of HIL Test System for of Pure Electric Vehicle Pengpeng Nie1, a), Youyu Wu1, b) and Xiaoyu Liang1, c) 1 School of information, Wuhan University of Technology, Wuhan 430070, China. a) b) niepengpeng2015@163.com wuyouyul@whut.edu.cn.com c) 6237555@qq.com Abstract. In order to achieve the test of function and strategy of pure electric car vehicle control unit() better, this paper designs a hardware-in-the-loop (HIL) test system for based on NI-PXI platform. Firstly, expounding the principle of HIL testing technology and introducing the HIL test system plan based on demand analysis, then making sure the hardware which is used by system, and using it to build a vehicle with MATLAB/Simulink successfully, finally running tests on the HIL testing system to demonstrate the political legitimacy and viability of the system. Keywords: HIL testing system,, design 1 INTRODUCTION In order to improve the efficiency and reduce the cost, the automobile electronic system proposed the V-Mode development process, including function design and Simulink simulation, rapid prototyping development, automatic code generation of products, hardware-in-the-loop test and real vehicle calibration [1], so that every step of the development process can be verified [2]. and some of the key components in HIL test are hardware-based while the others are -based [3]. It not only overcomes the flaws of off-line simulation, but also overcomes the shortcomings of high cost and long period of real vehicle test [4]. However, most commercial HIL products are very expensive [5], which seriously hindered the promotion and marketization of HIL test technology. Because of the fact that NI-PXI has the advantage of systems integration with software and hardware for HIL test [6], this paper designs a HIL test system for of pure electric vehicle based on NI-PXI platform, which can test function and strategy of with low cost and easy-using. 2 SYSTEM DESIGN HIL test system can be divided into three levels, namely the signal level, power level and machine level [7]. And HIL test system is designed in this paper is a signal level test system, which is built based on the NI-PXI platform. In the test system, the vehicle runs in real-time simulation environment, and the measurement signal is managed and controlled in the. Besides that, to be measured is in the form of hardware [8]. The specific features are integrated: (1) Use external board through a specific response input and output to simulate the input and output of. (2) Use Veristand to develop the host computer interface, configure the hardware interface, and manage NI hardware resources. (3) With the fault system, the physical channel of the board and the to be tested are connected to realize the fault simulation function. (4) The vehicle built by Matlab/Simulink runs in the NI real-time system, in order to simulate the vehicle running environment and realize the hardware-in-loop-test. The specific system diagram is shown in figure 1. Copyright 2017, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). 867

Software Host computer interface Configure system parameters real-time operating system The real-time state ofsystem NI-PXI Platform Modeiing based on Matlab/Simulink Import DLL file The vehicle I/O Board CAN Card Hardware of NI Hardware Fault injection system physical channel FIGURE 1. System solution 3 HARDWARE DESIGN The hardware part of the HIL system is mainly based on the NI-PXI platform, Combined with the Fault Injection System and the connection wiring harness, it provides the input required for the real drive by the, and collects the output response of the 's related pins in real time. The system is mainly composed of host, target computer, I / O board and CAN card, fault injection box and to be measured. The specific structure is shown in figure 2. NI-PXI platform provides hardware support for the system, including real-time processors and various types of boards and so on. According to the test requirements of the, the selected hardware is shown in figure 3 Host computer IP/TCP Target computer PXI card slot I/O card and CAN card Wire harness Fault injection system FIGURE 2. The hardware of system FIGURE 3. the hardware provide by NI 4 SOFTWARE DESIGN The software pare of the HIL test system based on NI-PXI platform mainly includes the vehicle built by MATLAB/Simulink and the host computer designed with Veristand. 4.1 The design of vehicle First of all, the vehicle can be divided into several different according to the different function, and the working mode of the pure electric vehicle mode on the basis of structure and working principle of vehicle is shown in figure 4. 868

(1) Battery Model.The inputs of this module are the demand power returned by the motor and other parameters, and its outputs are actual output power, output voltage, working current and SOC (state of charge). The positive power represents discharge, and the negative power represents charge. The battery is built on Thevenin with first-order RC circuit, and the equivalent circuit can be seen from figure 5. Start obtain driving intentions Driver Gear signal, the opening of accelerator/brake pedal, etc. Speed of motor Target torque Demand power Motor Voltage Current Battery SOC The torque and speed of motor Main reducer Actual torque and speed Vehicle dynamic Speed End FIGURE 4 the working mode of vehicle FIGURE 5. the equivalent circuit of the battery The output voltage of the battery is limited by the SOC and the maximum output power. When the value of SOC close to 100%, the charging power is 0, and when the value is close to 0, the discharging power is 0. In addition, the maximum output power is related to open circuit voltage Uocv, the minimum operating voltage Umin, and the internal resistance Rint, and the specific formula is shown in Equation(1). Pmax = Uocv - Umin Rint 2 (1) SOC is the ratio of the residual capacity to the total capacity (Cmax ). The value of SOC can be estimated by using ampere-hour method, and the basic idea is that the capacity of used this time (Cused1 ) can be obtained by integration of output current (Iout ) with time, the total used capacity (Cused ) is the sum of the value of Cused1 and the capacity previously used. The formula is shown in Equation (2) and (3), and SOC0 represents the initial SOC. t I (2) Cused = 0 out 3600 dt+ 1-SOC0 Cmax (Cmax Cused ) SOC = 100% (3) Cmax (2) Motor.The main inputs of the motor include output voltage (U) and provided power from the battery, and the also receives the target torque sent by through CAN and the actual speed (n) of motor from the vehicle dynamics. Firstly, the maximum output torque of the motor can be obtained according to the current speed of the motor by table lookup, and then comparing the maximum output torque and the target torque, the value of motor s output torque (T) is the minimum when the torque is positive or the maximum when the torque is negative. And we can look up the MAP figure to get the efficiency (η) with the current speed and torque of the motor, other parameters such as the output power (Pout ), the demand power (Pdem ) and output current can be calculated according to Equation (4) and (5). T n T ω Pout = = =U I (4) 9550 1000 869

Pout electric drive mode η (5) electric brake mode Pout η If the demand power is greater than the maximum working power of the motor, in order to protect the motor, it is necessary to add a power limit module to limit the demand power so that the working power of the motor will not exceed the maximum working power. (3) Main reducer. The function of this module is to reduce speed and increase torque, its inputs are the speed (Inspeed ) and torque (Intorque ) from motor, and the module output the actual speed (Out Speed ) and torque (Outtorque ) after calculating with the transmission ratio (Tratio ) and transmission efficiency of the main reducer, and the specific method of calculation can be seen in Equation (6) and (7). In Out Speed = speed T (6) ratio Pdem = d Out speed Out torque = Intorque Tintertia -Tloss Tratio (7) dt (4) Vehicle dynamic. The vehicle dynamic can obtain the actual speed of the vehicle on the basis of the longitudinal dynamic equation, and then send the speed to the driver module to form a closed-loop test. According to the relevant knowledge of automobile theory, traction (Ft ) is the sum of rolling resistance (Ff ), air resistance (Fw ), slope resistance (Fi ) and acceleration resistance (Fj ), as shown in Equation (8). And the vehicle speed can be obtained by expanding this equation. Ft = F =Ff +Fw +Fi +Fj (8) (5) Cycle condition and driver. The main function of the driver in the manual test mode is to simulate the vehicle power logic and analyze the driving intention, including the analysis of the gear signal and accelerator / brake pedal signal, and then send the analytical physical signal to. In the automatic test mode, introducing the PID controller to find the position of the accelerator / brake pedal according to comparing the different speed curves from the cycle condition and the actual speed sent by the vehicle dynamic, so that these two module can achieve the test of simulating different cycles conditions. 4.2 Configuration of Veristand. Veristand is a data calibration software developed by National Instrument (NI) specifically for HIL test system. Figure 6 shows the functions of Veristand in the HIL test system designed by this paper. Set real-time processor Import vehicle The function of Veristand Map pin channel Configure CAN signal Design host computer FIGURE 6. the function of Veristand 4.3 Table of parameter The vehicle of traditional HIL test system is customized for a certain vehicle, so the needs to be modified first if the test object had changed, and the DLL file should be generate again, resulting in the workload of reuse the system becomes much larger. In order to solve the problem, the object-oriented programming idea is introduced creatively in the design of the, and the approach practice is to design a table of parameter, which contains the detailed parameter information of the vehicle, motor and battery. The relevant information can be read and used from the table when the runs, and this is a good way to avoid repeated and boring modifications to the when it comes to experiments on different vehicles, the users just need to refill the table of parameter, and 870

then the only thing needs to do is compile and run. Much time and human resources can be saved in this way. Besides, the risk of making mistakes when modifying the will be reduced. 5. ANALYSIS OF EXPERIMENTAL RESULTS The HIL test system can simulate the vehicle logic power and the process of acceleration and deceleration. And the test result can be seen in figure 7 and figure 8. The fault test mainly simulates the working state of in the process of vehicle simulation, and the test of cycle condition is mainly to test the driving range and energy consumption. Users can determine whether the meets the requirements based on the test results. FIGURE 7 the state of the vehicle FIGURE 8. the speed change curve of the vehicle 6. CONCLUSION Based on the analysis of the basic principle and composed meaning of HIL test system, this paper designed a HIL test system based on Veristand with the mainframe and tablet provided by NI-PXI platform integration, coupled with fault injection in system and other accessories, and by using MATLAB/Simulink to build a vehicle for the configuration of the vehicle parameters to simulate the vehicle running environment, realize the hardware in the loop test to test. The experiment shows that the system has successfully simulated the whole process of power supply, the process of acceleration and deceleration, the fault detection and the simulation of the working conditions. There is no obvious differences during experimental data and design goals. As a result, the system can test the design of and provide basis data to the next vehicle test. Costs are far below traditional business HIL test system, and there will be good prospects for the new energy vehicle market. REFERENCES 1. 2. 3. 4. 5. 6. 7. 8. Zhang Heng, Research of the Hardware in the loop Simulation System for of the Electric Vehicle, Jilin University, Changchun, 2013. Tian Zhen, Zhang Xueman, Dong Tingting, et al, Development of a Vehicle Control System and Model Unit Test Based on V-mode, Chinese Journal of Automotive Engineering, 2(2012)458-463. Wang Hongyu, Yuwen Zhiqiang, Fang Yong, QiaoYunqian, Development of pure electric vehicle powertrain controller based on hardware in the loop platform, 2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS), (2015)498-502. Jin Xiaofei, Zhao Han, Li Yang, Development of Vehicle Control Unit Based on dsapce Hardware Simulation for Electrical Vehicle, Mechanical & Electrical Engineering Technology, 8(2014)1-6. Jinglin Xia, Qinghua Diao, Wei Sun, et al, Development of low cost hardware-in-the-loop test system and case study for electric vehicle controller, 2016 International Conference on Applied System Innovation (ICASI), (2016)1-4. Ni Jimin, Li Xiaojin, Shi Xiuyong, Design of Host Progrom for Engine ECU HIL System Based on NI PXI Platform, Automobile Technology, 3(2014) 54-58. A. Bouscayrol, Different types of Hardware-In-the-Loop simulation for electric drivers, 2008 IEEE International Symposium on Industrial Electronics, (2008)2146-2151. Thanh Vo-Duy, Minh C. Ta, A signal hardware-in-the-loop for electric vehicles, ROBOMECH Journal, 3(2016):1-11. 871