LabVIEW Program Research Articles

An Effective Concept for Teaching LabVIEW Programming to Engineering Students

In today’s technology-driven era, the demand for engineers with strong programming skills continues to rise across diverse industries. LabVIEW software stands out as a key tool in engineering, supporting applications ranging from test and measurement systems to automation and control across different sectors, like manufacturing, aerospace, and automotive. Proficiency in LabVIEW therefore enables engineers to work on a wide range of projects and applications. This article presents two distinct pedagogical approaches to teaching LabVIEW programming at the university level. The introductory course is taught using traditional direct teaching methods, with an emphasis on face-to-face teaching and classroom lectures. In contrast, the advanced course uses a flipped classroom model, where students work independently on preparatory material before participating in laboratory exercises. The latter course concludes with a large project, which the student must complete within four hours. The article provides details on the teaching methods and content of the individual courses, as well as an explanation of the assessment process for the final project. The analysis of the final project results confirms that the students have acquired the knowledge necessary to create functional LabVIEW programs with the appropriate programming style.

Development of a Controlled Humidity Differential Electrochemical Gas Monitoring System

Lithium-air batteries (LABs) represent a promising future battery technology due to their high energy density, although several challenges hinder them from achieving their theoretical performance. These challenges include clogging of the porous air cathode by insoluble discharge products and high overpotentials during cycling [1, 2]. A recent proposal to address these issues involves the reversible formation and oxidation of LiOH in nonaqueous LABs. Of course, LiOH-based LABs require a proton source to form LiOH from the electrochemical reaction of oxygen and lithium ions [3]; humidity in air is an obvious choice for the proton source, making the relative humidity of LAB feed gas an important parameter to control and monitor during LAB electrochemical analysis.For LABs, galvanostatic charge/discharge coupled with quantitative gas evolution/consumption measurement is essential to understand the electrochemical processes during battery operation. Here, we report an advanced operando pressure measurement system that allows the control and monitoring of humidity in the cell headspace while also tracing overall gas consumption and evolution. Our gas handling system generates humid air using a water-containing chamber with a temperature control vessel to generate water vapor. A mass flow controller mixes dry air with humid air to generate specific relative humidity and send it to the cell. Using various low-volume in-line sensors, our system can track headspace humidity, temperature, and pressure within a custom-modified Swagelok-type cell. The total headspace volume must be small (~mL) since gas consumption occurs on a μmol scale in our lab-scale cells. To minimize headspace and dead volume within the Swagelok-type cell, a digital humidity and temperature sensor with exceptional accuracy was integrated into a customized printed circuit board (PCB). This PCB is attached to the small dead-volume Tee connection. To control the humidity inside the cell and achieve sensor data simultaneously, all sensors in the monitoring system are controlled by a LabVIEW program (National Instruments). To show the utility of this new system, we will present analyses of nonaqueous and solid-state LAB cells that operate at various humidities and current rates, while employing various known 2 e- and 4 e- oxygen reduction catalysts.

Development of Remote Condition Monitoring System for Panauti Hydropower Station

Abstract Condition monitoring is the process of predicting faults in machine through the measurement and analysis of pre-identified parameters. This paper aims to present the features and process of development of a real time condition monitoring system installed at Panauti Hydropower station. In total, seven different sensors including Pressure, Temperature, Guide Vane Position and Tri-axial Vibration sensor were installed at the power plant. The locations of the pressure sensors are at the inlet of the turbine and the outlet of the draft tube. Tri-axial vibration sensor was installed at the turbine shaft to capture the turbine vibrations at different operating conditions. The temperature sensors provide the temperature data from the bearings and housing of a generator. The sensors were connected to the NI-DAQ (data acquisition system) hardware including current measuring module and sound and vibration module integrated with the LabVIEW program. The data acquisition system is capable of recording the pressure pulsations at the outlet of draft tube. The monitoring system processes the data from sensors and uploads the relevant information to the Kathmandu University’s central server. A remote monitoring program in LabVIEW has been developed which uses an Application Programming Interface (API) to retrieve the information from the central server in the real time, enabling the monitoring of the power plant from any location.

Comprehensive stereotactic radiosurgery platform characterization: A novel end-to-end approach with anthropomorphic 3D dosimetry.

Stereotactic radiosurgery (SRS) is a widely employed strategy for intracranial metastases, utilizing linear accelerators and volumetric modulated arc therapy (VMAT). Ensuring precise linear accelerator performance is crucial, given the small planning target volume (PTV) margins. Rapid dose falloff is vital to minimize brain radiation necrosis. Despite advances in SRS planning, tools for end-to-end testing of SRS treatments are lacking, hindering confidence in the procedure. This study introduces a novel end-to-end three-dimensional (3D) anthropomorphic dosimetry system for characterization of a radiosurgery platform, aiming to measure planning metrics, dose gradient index (DGI), brain volumes receiving at least 10 and 12Gy (V10, V12), as well as assess delivery uncertainties in multitarget treatments. The study also compares metrics from benchmark plans to enhance understanding and confidence in SRS treatments. The developed anthropomorphic 3D dosimetry system includes a modified Stereotactic End-to-End Verification (STEEV) phantom with a customized insert integrating 3D dosimeters and a fiber optic CT scanner. Labview and MATLAB programs handle optical scanning, image preprocessing, and dosimetric analysis. SlicerRT is used for 3D dose visualization and analysis. A film stack insert was used to validate the 3D dosimeter measurements at specific slices. Benchmark plans were developed and measured to investigate off-axis errors, dose spillage, small field dosimetry, and multi-target delivery. The accuracy of the developed 3D dosimetry system was rigorously assessed using radiochromic films. Two two-dimensional (2D) dose planes, extracted from the 3D dose distribution, were compared with film measurements, resulting in high passing rates of 99.9% and 99.6% in gamma tests. The mean relative dose difference between film and 3D dosimeter measurements was -1%, with a standard deviation of 2.2%, well within dosimeter uncertainties. In the first module, evaluating single-isocenter multitarget treatments, a 1.5mm dose distribution shift was observed when targets were 7cm off-axis. This shift was attributed to machine mechanical errors and image-guided system uncertainties, indicating potential limitations in conventional gamma tests. The second module investigated discrepancies in intermediate-to-low dose spillage, revealing higher measured doses in the connecting region between closely positioned targets. This discrepancy was linked to uncertainties in treatment planning system (TPS) modeling of out-of-field dose and multileaf collimator (MLC) characteristics, resulting in lower DGI values and higher V10 and V12 values compared to TPS calculations. In the third module, irradiating multiple targets showed consistent V10 and V12 values within 1 cm3 agreement with dose calculations. However, lower DGI values from measurements compared to calculations suggested intricacies in the treatment process. Conducting vital end-to-end testing demonstrated the anthropomorphic 3D dosimetry system's capacity to assess overall treatment uncertainty, offering a valuable tool for enhancing treatment accuracy in radiosurgery platforms. The study introduces a novel anthropomorphic 3D dosimetry system for end-to-end testing of a radiosurgery platform. The system effectively measures plan quality metrics, captures mechanical errors, and visualizes dose discrepancies in 3D space. The comprehensive evaluation capability enhances confidence in the commissioning and verification process, ensuring patient safety. The system is recommended for commissioning new radiosurgery platforms and remote auditing of existing programs.

Design and development of a first order reversal curve measurement enabled variable temperature vibrating sample magnetometer

In this paper we present the design, construction and calibration of a sensitive vibrating sample magnetometer (VSM) and temperature variable setup with a capability to measure magnetization of magnetic materials from 100 K to 400 K with First Order Reversal Curve (FORC) measurement facility. It uses a bipolar power supply to energize an electromagnet capable of attaining ±1 Tesla field, subwoofer speaker for vibrating the sample and the induced voltage in four coil setup is measured by a lock-in amplifier. All hardware is controlled by a customized LabView program. The cryostat is designed such that the temperature can be varied continuously from 100 K to 400 K using liquid nitrogen up to room temperature and forced nitrogen gas/air for high temperatures study. We report here the VSM sensitivity of up to 10−2 emu/gm and can measure much weaker signals. The FORC protocol in this system is implemented via a dedicated virtual instrument in LabView capable of magnetic field reversal and termination at appropriate point to study domain nucleation field. The detailed analysis of the data is done using the open-source resources. We present the FORC measurement for Co0.5Zn0.5Fe2O4, a ferrimagnet. To establish the sensitivity of the instrument we present the results of magnetization measurement with temperature and phase transition study of La0.4Ca0.6MnO3 and La0.75Sr0.25MnO3.

High-precision high-speed nanopore ping-pong control system based on field programmable gate array.

"Molecular ping-pong," emerging as a control strategy in solid-state nanopore technology, presents a highly promising approach for repetitive measurements of single biomolecules, such as DNA. This paper introduces a high-precision, high-speed nanopore molecular ping-pong control system consisting of a home-built trans-impedance amplifier (TIA), a control system based on a Field Programmable Gate Array (FPGA), and a LabVIEW program operating on the host personal computer. Through feedback compensation and post-stage boosting, the TIA achieves a high bandwidth of about 200kHz with a gain of 100 MΩ, along with low input-referred current noise of 1.6 × 10-4pA2/Hz at 1kHz and 1.1 × 10-3pA2/Hz at 100kHz. The FPGA-based control system demonstrates a minimum overall response time (tdelay) of 6.5 μs from the analog input current signal trigger to the subsequent reversal of the analog output drive voltage signal, with a control precision of 1 μs. Additionally, a LabVIEW program has been developed to facilitate rapid data exchange and communication with the FPGA program, enabling real-time signal monitoring, parameter adjustment, and data storage. Successful recapture of individual DNA molecules at various tdelay, resulting in an improvement in capture rate by up to 2 orders of magnitude, has been demonstrated. With unprecedented control precision and capture efficiency, this system provides robust technical support and opens novel research avenues for nanopore single-molecule sensing and manipulation.

A simple measurement method for in-situ temperature-dependent piezoelectric coefficient d 33 of piezoelectric materials

Piezoelectric materials have been widely used in sensors, actuators, and transducers due to their positive and inverse piezoelectric effects, which can convert electrical and mechanical energy into one another. The most important parameter to evaluate the piezoelectric properties of materials is their piezoelectric coefficient (d 33). The value of d 33 varies with temperature. The measurement of temperature-dependent d 33 is a difficult task and at present, the equipment used to measure the temperature-dependent d 33 has many limitations. To overcome these limitations, the current study proposes an in situ temperature-dependent d 33 measuring method based on the inverse piezoelectric effect of piezoelectric materials. The newly developed measuring equipment contains a laser vibrometer, and automatic detection program including data processing. Moreover, the image is displayed on LabVIEW program. Compared with the quasi-static temperature-dependent d 33 measurement method, the KNN- based piezoelectric material demonstrated the reliability of this measurement method.

Relatively Low‐Frequency Magnetic Field Detection System Using Metglas/PZT‐5B Sensor

The magnetoelectric (ME) sensor is a new and promising type of magnetic field sensor with ultrahigh sensitivity. However, there are few reports on the research of real‐time measurement system which can promote its practical application. Herein, a novel real‐time measuring approach for weak AC magnetic fields at relatively low frequency is proposed using Metglas/PZT‐5B ME sensors. The system mainly consists of an oscilloscope, a signal generator, and a program developed with LabVIEW programming. Real‐time measurement of relatively low‐frequency magnetic fields has been achieved by using frequency upconversion methods, simultaneously displaying the frequency and magnitude of the magnetic field. As a result, the real‐time measurement system is able to detect a weak AC magnetic field as low as 0.1 nT@1 Hz, which is promising to push the ME sensor to practical application.

A Capacitive Transparent Liquid Concentration Detecting System Based on LabVIEW

The accurate detection of transparent liquid concentrations holds widespread applications in production and daily life, making the design and development of novel detection systems crucial. In this study, a capacitance-based detection system for measuring the concentration of transparent liquids was successfully designed and implemented. The system utilized a cylindrical capacitive sensor and FDC2214 module for capacitance measurement, with data acquisition, processing, and display accomplished through an Arduino microcontroller and a LabVIEW program. The results of practical detections demonstrate that the developed system exhibits advantages such as non-contact operation, low cost, high accuracy, minimal sample requirement, and rapid detection speed. This system effectively meets the demands for transparent liquid concentration detection.

Virtual instrumentation-based data collection and analysis for CNC machining process

Using Computer Numerical Control (CNC) machine tools in manufacturing is crucial for exact processing materials. The quality of the machined product heavily relies on the machine's condition. Therefore, monitoring and assessing the machine's status is essential to ensure product quality and enhance its lifespan. However, due to cost, space, and technical limitations, only a few physical variables, such as acceleration, force, displacement, acoustic radiation, temperature, and flow conditions, can be measured. Efficient transfer and extraction of these data are critical for monitoring machine status using statistical methods or valuable signatures. Traditional measurement instruments are complex and numerous, whereas measurement and analysis systems based on virtual instrumentation technology collect necessary data from sensors and data acquisition cards, meeting the needs of test analysis. Virtual instrumentation utilizes computer hardware resources, modularization hardware, and software systems for data analysis, communication, and operation interface, providing greater versatility, flexibility, compatibility, and repeatability. Previous research has shown successful attempts at developing LabVIEW-based systems for monitoring CNC milling machines and analyzing cutting parameters and forces. This project aims to collect and process data from the CNC machining process. The main objectives include writing a LabVIEW software program, recording data from CNC machine programs using the provided hardware (myRIO) and LabVIEW program, processing the data using MATLAB software, and analyzing and discussing the obtained results. The report consists of four parts, starting with an introduction to the project's background and literature review, followed by a description of the project steps, methods, experiments, and data processing. The processed data graphs will be presented and discussed, and recommendations for future research will be provided before concluding with a study summary.

Experimental Study of Nitinol Springs: Apparatus and Results

BackgroundThe behavior of shape memory alloys that admit large reversible deformations in response to thermal excitation has been extensively studied in recent years. Yet, the number of works dealing with springs made from these alloys is rather limited in spite of their attractiveness in various applications.ObjectiveTo bridge this gap we designed and constructed an experimental system for characterizing the behavior of the springs. It enables precise control of the three state variables: temperature, elongation, and force.MethodsControl of the sample temperature is achieved by immersing it in a water-filled thermal bath, where the water temperature is adjusted using a thermoelectric Peltier device. A tension-compression motorized unit sets the spring elongation and a force gauge is used for measuring the force exerted on the spring. The data is continuously monitored and acquired with a self-coded LabVIEW program. An important aspect is the calibration procedure developed for identifying the spring load-free state and ensuring the repetitiveness of the measurements.ResultsExperiments in which the elongation or the force were measured as a function of the temperature demonstrate the role of the phase transformations. Isothermal experiments enabled to characterize the variations of the force versus the elongation at different temperatures.ConclusionsThe proposed system facilitates the execution of highly accurate experiments through which the complex history-dependent behavior of shape memory springs can be revealed and studied.

Development of an H2 fuel cell electrochemical system powered by Escherichia coli cells

Because of the growing high importance of the development of biocatalytic fuel cell (FC) technologies for renewable energy-producing and testing systems for medical or environmental purposes, in this study, we constructed and demonstrated an H2 FC voltammeter working with graphite sample testing micro-strips and based on Escherichia coli microbial cells. Presented H2 FC voltammeter that provides fast and precise testing of bio-electrochemical possible reactions in biosamples for H2 and other gases, is automated with software which works in NI LabVIEW programming environment, has amplifier cascade system with high internal resistance, temperature controlling and resistance cascade. Microbial Hydrogenase (Hyd) enzymes reversibly catalyze the formation and oxidation of H2. Isolation and characterization of O2-tolerant [NiFe]-hydrogenases (Hyds) have given rise to new concepts in H2 FC. Escherichia coli and [NiFe]-Hyds can be applied as a biocatalyst anode in biofuel cells (BFCs). We evaluated the efficiency of applying the 3 µl (1.5 mg cell dry weight) E. coli intact cells or crude extracts on 0.5 cm2 as anode catalyzers in the bio-electrochemical system. The highest electrical potential (up to 0.7 V) was achieved with bacterial whole cells, which were grown on glucose and glycerol.

Spontaneous Bursts of Muscle Sympathetic Nerve Activity Reduce Femoral Arterial Compliance in Humans

Previous studies in rodents have demonstrated tonic sympathetic restraint of arterial compliance. To date, studies in humans have examined sympathetic restraint of compliance via either reflexively or pharmacologically manipulating sympathetic vasoconstriction and measuring resultant changes in compliance. The extent to which spontaneous bursts of muscle sympathetic nerve activity (MSNA) dynamically regulate arterial compliance in humans on a beat-by-beat basis remains unknown. Herein, we hypothesized that femoral arterial compliance would be transiently reduced following spontaneous bursts of MSNA. Further, we hypothesized that the magnitude of reduction in arterial compliance would be graded to the MSNA burst amplitude (index of net neural outflow). Beat-to-beat blood pressure (BP; Finometer), heart rate (ECG), MSNA (peroneal microneurography), and femoral artery blood flow (duplex Doppler ultrasound) were continuously measured over 10-20 minutes of quiet supine rest in 27 young, healthy men (age: 22 ± 1 years, resting MSNA burst frequency: 11 ± 5 bursts/minute). Customized labview programs were used to time-align neural cardiovascular variables with ultrasound data sampled at 30Hz, enabling the quantification of arterial compliance on a beat-by-beat basis defined as the change in arterial cross-sectional area divided by the change in blood pressure over the cardiac cycle. Bursts of MSNA were tracked for 10 cardiac cycles and changes in arterial compliance were quantified using signal-averaging for all bursts, and subsequently, for bursts of MSNA when sub-classified based on amplitude into quartiles (Q1= smallest 25% of bursts, Q4= largest 25% of bursts). Reductions in arterial compliance were significantly greater following cardiac cycles with bursts of MSNA compared to cardiac cycles without bursts of MSNA (bursts: -5.1 ± 0.6% vs. non-bursts: -0.8 ± 0.2%, p<0.001). Further, reductions in compliance appeared to be graded to MSNA burst amplitude (Q1: -6.5 ± 0.8%; Q4: -9.1 ± 1.3%, P=0.051). The latency (i.e., number of heartbeats) to nadir arterial compliance following bursts of MSNA was 4.2 ± 0.6 cardiac cycles. Collectively, these findings suggest that the sympathetic nervous system dynamically regulates femoral arterial compliance on a beat-to-beat basis. College of Nursing and Health Innovation, University of Texas at Arlington. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

棉秆对夹拉拔试验台设计与试验

In order to explore the relationship between displacement-pulling force and the change of clamping force during the clamping and pulling process of cotton stalks in the field by different types of clamps, a test bench for cotton stalks clamping and pulling was designed. Based on the combination of virtual instrument technology and external hardware, the device is programmed by Gx Works2 and LabVIEW programming software to complete the operation of the test bench clamping and pulling device and the measurement and acquisition of information. From the mapping of the collected information, the average value of the maximum uplift force on the cotton stalks was 500 N, corresponding to an upward movement of 12 mm at the root of the cotton stalks. Through the collected information the effect of two types of clamps on cotton stalks clamping and pulling was analyzed, rigid splints with the clamping force of 750 N and a linear speed of 0.18m/s having the best effect on the cotton stalks clamping and pulling. Rubber splints have the best effect on cotton stalks clamping and pulling when the clamping force is 500 N and the linear speed is 0.36 m/s. Among them, the striped rubber splint has the best effect. The collected information was subjected to analysis of variance (ANOVA), and the results showed that the coefficient of friction of the clamping plate showed a high influence on both the pull-up force and the reduction of clamping force. Based on the obtained results, it can provide a reference for the design of clamping type cotton stalk harvesting machinery.

Ground Wave Propagation Measurement using DAQ Module and LabVIEW

Utilizing a data acquisition (DAQ) module and LABVIEW programming requires to develop in earth science/ engineering and equivalent, especially for educational purposes. This study implemented a geophone and an accelerometer to measure ground wave propagation with a study case of soil surface. Its measurement method consists of two modes. Firstly, the geophone is close to a wave source. Then, its position is changed by the accelerometer. The DAQ converts the detected signals from both sensors and then the LABVIEW interface processes and displays the outputs on the computer. The system can sense and reconstruct waveforms with a steady sampling frequency from 5 to 50 kHz. Also, it can automatically calculate a wave velocity by identifying the rising or falling edges of the wave signal and counting its arrival time within the distance between two sensors. As a result, it produces a better result at an interval of 0.2-0.6 m with a computed wave velocity of 72.531 m/s on average, even though a correction variable should be appended to the outcomes, amplified by two.

E-Nose for Piston Ring and Cylinder Block Condition Detection of Motorcycle Engine Based on MyRIO LabVIEW Programming

This study has created a system capable of identifying the condition of the piston ring and cylinder block of a 4-stroke motorcycle engine using petrol or similar through exhaust emissions. Multisensory gas, sensitive to changes in CO, CO2, NOx, and HC gas elements and compounds, is installed as an input to the exhaust channel and integrated using LabVIEW programming on the NI myRIO module. Multisensory data is processed using the FFT and the backpropagation method to classify whether the piston rings and engine cylinder block are in good or damaged condition. Tests have been carried out on motorbikes with piston rings and engine cylinder blocks that are in good, damaged, or unknown condition. During the test, the target error value for motorcycles with piston rings and engine cylinder blocks in good or damaged condition is less than 1%. The system can distinguish the condition of the piston ring and cylinder block of a motorcycle engine that is 100% optimal and 100% damaged with an error of 0% compared to the compression test method, and the maximum error is 20% Compared to the technician's manual method. Ten motorcycles were randomly tested in unknown conditions; 50% were in good condition, and 50% were damaged. For further development, an electronic nose system can detect engine combustion conditions and damage to cylinder rings and 4-stroke motorbike engine blocks based on exhaust emissions.

Design of Advanced Controllers for Speed Control of DC Motor

In this research work, an open-loop experimental DC motor from National Instruments is investigated for speed control applications in the nuclear industry with higher accuracy. For performance analysis, the DC motor is mathematically modeled, and advanced control techniques are established. The two design approaches are therefore hardware in loop which is an experimental facility and mathematical in nature which is a simulation model. An adequate mathematical model of the DC motor is developed using the first principle. The hardware realization is accomplished by the DC motor experimental setup. Different advanced control algorithms such as PID, SMC, and MPC are developed for both model-based and hardware-based DC motor research studies. Model development, control synthesis, simulation, and analysis are carried out in Simulink and LabVIEW programming environments. Closed loop performance analyses of nonlinear and predictive controllers are evaluated and found much better, smoother, and robust than linear controllers for speed control of DC motors under different conditions.

Development of embedded fuzzy control using reconfigurable FPGA technology

The purpose of this work is to investigate the construction of fuzzy embedded control systems combining fast execution and parallel processing capabilities provided by Field Programmable Gate Arrays (FPGAs) and Reconfigurable Inputs/Outputs (RIO) chips. A fixed-point fuzzy controller is developed and implemented on a fast mechatronic system with high-speed control and high channel count on an FPGA target. This paper provides a brief introduction to deploying Fuzzy Logic Control (FLC) methods using RIO-FPGA technology. It suggests a technique for implementing the three stages that constitute the FLC and the PD-like FLC and PID-like FLC structures into practice. Controllers with 1 and 2 degrees of freedom are developed and tested experimentally. Parallel loops, key challenging advantage of LabVIEW programming, are utilized for decoding feedback signals, generating pulse trains for actuator's drivers and for calculation of control gains. An NI-SbRIO board that combines deployable devices with a real-time processor, a re-configurable FPGA, and analogue and digital input–output ports is used. The experimental work demonstrates the significant enhancement of implementing reconfigurable embedded fuzzy control upon such mechatronic systems.

Operation of a virtual keyboard based on EMG Signals

We demonstrate the operation of a virtual keyboard utilizing electromyography signals derived from finger movements. Initially, we identify human arm surfaces corresponding to specific finger motions, where EMG sensors are subsequently placed. The raw EMG signals obtained from our setup undergo filtration using a custom-made electric circuit. A LabVIEW program is employed to measure and manage these EMG signals. Following the conversion of analog signals to digital format, the data is inputted to an Arduino board, which then displays the corresponding letters from the virtual keyboard onto a computer monitor. The success of this demonstration is contingent upon a training session adhering to the established protocol.

An Example of Modelica–LabVIEW Communication Usage to Implement Hardware-in-the-Loop Experiments

Modelica is a very powerful language to simulate a very large set of systems, including electrical, thermal, mechanical, fluidic, control, and has already been used very extensively for several purposes, as the several Modelica conferences testify. Despite of this large literature, no paper seems to be available regarding the use of Modelica for real-time applications or hardware-in-the loop (HIL). This is a field where applications may be very fruitful. In this paper, the possibility of creating mixed software–hardware experiences (i.e., HIL), through combination of a Modelica program, the related simulation tool, a LabVIEW program, and the corresponding hardware is demonstrated. This demonstration is made using as an example a partial simulator of an electric vehicle running in a stand-alone PC, which communicates via User Datagram Protocol (UDP) packets with another PC running the LabVIEW program, which in turn is physically connected with the hardware-under-test. The obtained results are satisfying, given the inherent delay times due to the UDP communication.