Verification of battery system model for environmentally friendly vehicles using a battery hardware‐in‐the‐loop simulation

2013 ◽  
Vol 6 (2) ◽  
pp. 417-424 ◽  
Author(s):  
Hyun‐Sik Song ◽  
Tae‐Hoon Kim ◽  
Jin‐Beom Jeong ◽  
Byoung‐Hoon Kim ◽  
Dong‐Hyun Shin ◽  
...  
2013 ◽  
Vol 198 ◽  
pp. 533-538
Author(s):  
Robert Buchta ◽  
Xiao Bo Liu-Henke

For an efficient design process of complex mechatronic systems a continuous and verification-orientated model-based methodology with Model-in-the-Loop (MiL), Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulation is suitable. Using such an approach the real-time capable nonlinear multi-body system model of the entire vehicle with the electric power train and the identification of the physical parameters are described. A continuous appliance of the introduced model is a contribution for the frontloading and guarantees a time and cost efficient mechatronic design approach.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Qiulei Du ◽  
Yang Li ◽  
Liai Pan

AbstractBased on investigation of existing folding wheelchairs’ usage, this paper analyzed wheelchair size and material in human-machine system model. The importance of new environmentally friendly materials’ application on wheelchair component producing in recent years was also explained. On the basis of strength and stiffness theory and calculation, applied materials were determined and rod mechanical calculation were carried out. The calculated results will have certain theoretical significance for wheelchair research and design.


Author(s):  
Prateek Sazawal ◽  
Daniel Choukroun ◽  
Heike Benninghoff ◽  
Eberhard Gill

Hardware-in-the-loop simulations of two interacting bodies are often accompanied by a time delay. The time delay, however small, may lead to instability in the hardware-in-the-loop system. The present work investigates the source of instability in a two spacecraft system model with a time-delayed contact force feedback. A generic compliance-device-based contact force model is proposed with elastic, viscous, and Coulomb friction effects in three dimensions. A 3D nonlinear system model with time delay is simulated, and the effect of variations in contact force model parameters is studied. The system is then linearized about a nominal state to determine the stability regions in terms of parameters of the spring-dashpot contact force model by the pole placement method. Furthermore, the stability analysis is validated for the nonlinear system by energy observation for both the stable and unstable cases.


Author(s):  
Javad Khazaei ◽  
Lakshan Piyasinghe ◽  
Vahid Rasouli Disfani ◽  
Zhixin Miao ◽  
Lingling Fan ◽  
...  

Author(s):  
Tulga Ersal ◽  
Hosam K. Fathy ◽  
Loucas S. Louca ◽  
D. Geoff Rideout ◽  
Jeffrey L. Stein

A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often — but not always — correlates inversely with simulation speed, a proper model is often alternatively defined as one balancing accuracy and speed. Such balancing is crucial for applications requiring both model accuracy and speed, such as system optimization and hardware-in-the-loop simulation. Furthermore, the simplicity of proper models conduces to control system analysis and design, particularly given the ease with which lower-order controllers can be implemented compared to higher-order ones. The literature presents many algorithms for deducing proper models from simpler ones or reducing complex models until they become proper. This paper presents a broad survey of the proper modeling literature. To simplify the presentation, the algorithms are classified into frequency-, projection-, optimization-, and energy-based, based on the metrics they use for obtaining proper models. The basic mechanics, properties, advantages and limitations of the methods are discussed, along with the relationships between different techniques, with the intention of helping the modeler to identify the most suitable proper modeling method for their application.


Author(s):  
K I Jennett ◽  
A S H Downie ◽  
A Avras ◽  
F Coffele ◽  
A Tate ◽  
...  

The UKMOD has an objective to improve the efficiency and flexibility associated with the integration of naval electrical systems into both new and existing platforms. A more specific challenge for the MOD is in the de-risking of the integration of future pulse and stochastic loads such as Laser Directed Energy Weapons. To address this the Power Networks Demonstration Centre (PNDC) naval research programme is focused towards understanding and resolving the associated future power system requirements. To address these challenges, the UK MOD and the PNDC have worked collaboratively to develop a 540kVA Power Hardware in the Loop (PHIL) testing facility. For the UK MOD this supports the “UK-US Advanced Electric Power and Propulsion Project Arrangement (AEP3).” This testing facility has been used to explore the capabilities of PHIL testing and evaluate a Flywheel Energy Storage System (FESS) in a notional ship power system environment. This testing provided an opportunity to develop and further validate the capability of the PHIL platform for continued marine power system research. This paper presents on the results from PHIL testing of the FESS at PNDC, which involved both characterisation and interfacing the FESS within a simulated ship power system. The characterisation tests involved evaluating the: response to step changes in current reference; frequency and impedance characteristics; and response during uncontrolled discharge. The ship power system testing involved interfacing the FESS to a simulated real time notional ship power system model and evaluating the response of the FESS and the impact on the ship power system under a range of different operational scenarios. This paper also discuss the links between FESS characterisation testing and the development of the energy management system implemented in the real time model. This control system was developed to schedule operation of the FESS state (charging, discharging and idle) with the other simulated generation sources (the active front end and battery storage) and with the loads within the ship power system model. Finally, this paper highlights how the testing at PNDC has also supported the comparison and validation of previous FESS testing at Florida State University’s Centre Advanced Power Systems (FSU CAPS) facility, and how the combined efforts help to collectively de-risk future load Total Ship Integration and Evolving Intelligent Platforms in both UK and US programmes via the AEP3 PA.


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