There are various concepts to reduce the noxious emission in the area of mobility. For example actually the expansion of the electro-mobility, via hybrid drive to the point of fuel made of biomass is explored. To assess these concepts the operating conditions and operating areas of the vehicles in day to day use are crucial, as the concepts differ explicitly with regard to the range, power and driving characteristics. To be able to select the proper concept a driver’s model has to be defined, as the economical key data’s are in a strong correlation of this model. Via an everyday operating behavior performance data’s can be created, which can be used in “Hardware in the Loop” (HIL) engine test bench simulations.
The analyzed rides will be characterized with time-weighted and motor units as well as the allocations of the accessed engine torques and the engine rpm.
driver’s model;
Keywords: Hardware in the Loop; driving characteristics
Table of Contents
I. INTRODUCTION
II. MATERIALS AND METHODS
III. EXECUTION OF THE TEST RUNS
IV. RESULTS
A. Engine torque
B. Speed
C. Road transport infrastructure
V. CONCLUSION
Research Objectives and Core Themes
The primary objective of this study is to define a representative driver model by analyzing everyday operating behavior to optimize "Hardware in the Loop" (HIL) engine test bench simulations. By evaluating performance data from real-world driving scenarios, the research aims to establish specific vehicle and engine usage patterns that allow for the assessment and improvement of various engine concepts, including hybrid-technology, in terms of their suitability for daily use.
- Analysis of everyday vehicle operating conditions.
- Development of a virtual driver-model for HIL simulations.
- Evaluation of engine-specific values (torque, rpm, pedal position).
- Assessment of road transport infrastructure impacts on driving behavior.
- Benchmarking of hybrid-technology potential based on real-world usage.
Excerpt from the Book
II. MATERIALS AND METHODS
For the detection of suitable specific values to generate the drivers profile a vehicle with data-recording-system has been used. The vehicle has been given to defined propositus for free usage in day to day life. Though all rides of the propositus have been recorded and analyzed. The characterization of the method of operation will be done on the basis of specific values, which are describing motor units such as engine torques, rpm and acceleration-pedal position as well as time weighted data such as speed and acceleration. The vehicle data of each ride and as a total will be evaluated. To reach an adequate data volume for the evaluation, a recording time of at least 50 hours is required. For the test runs a vehicle of the compact class segment has been chosen, using a conventional engine, as they represent the strongest market segment (approx. 25%) of the total German car market [1]. As an outcome the result is representing a strong share of day to day usage and exposure.
The specific values, which are necessary for the determination of the motor-driven operating-point and the driving dynamic operating conditions, are taken during the rides with the help of a data-recorder. We have to differentiate between measures which can be recorded directly and those which are calculated indirectly from other measures.
Summary of Chapters
I. INTRODUCTION: Describes the purpose of "Hardware in the Loop" simulations and the necessity of defining accurate driver models for early-stage vehicle development.
II. MATERIALS AND METHODS: Details the data collection process, involving real-world test runs over 50 hours to record engine-specific and time-related driving data.
III. EXECUTION OF THE TEST RUNS: Explains the experimental setup, where 33 participants provided data over 8 weeks to ensure a representative sample of driving behaviors and trip purposes.
IV. RESULTS: Presents findings on engine torque usage, speed profiles, and how infrastructure influences driving characteristics and fuel efficiency potentials.
V. CONCLUSION: Synthesizes the findings to confirm that the gathered driving behavior data provides a reliable basis for assessing and improving future engine concepts.
Keywords
Hardware in the Loop, Driver Model, Driving Characteristics, Engine Torque, Engine RPM, Electro-mobility, Hybrid-technology, Road Transport Infrastructure, Data-recording, Vehicle Performance, Efficiency, Driving Behavior, Compact Class, Operating Conditions, Test Bench Simulations.
Frequently Asked Questions
What is the core focus of this publication?
The work focuses on creating a characteristic driver model based on real-world driving data to improve the accuracy and efficiency of "Hardware in the Loop" (HIL) engine test bench simulations.
What are the central themes discussed?
The key themes include the evaluation of everyday vehicle operating conditions, the impact of traffic infrastructure on driving patterns, and the optimization of engine concepts for daily use.
What is the primary research question?
The research asks how everyday operating behavior and performance data can be used to define a driver model that accurately reflects real-world usage for the purpose of testing new engine concepts.
Which scientific methods are applied?
The study employs a data-recording approach, tracking vehicle usage among 33 participants for 50+ hours and utilizing mathematical and kinematical correlations to calculate specific motor units.
What topics are covered in the main section?
The main section covers the introduction to HIL simulations, the methodology of data acquisition, the execution of test runs, and a detailed analysis of engine torque, speed distribution, and infrastructure impacts.
Which keywords best describe this study?
Key terms include Hardware in the Loop, Driver Model, Engine Torque, Hybrid-technology, Driving Characteristics, and Efficiency.
Why was a vehicle of the compact class segment selected for the test runs?
The compact class was chosen because it represents the strongest segment of the German car market, ensuring that the results reflect a significant portion of everyday driving exposure.
What does the study suggest about hybrid-technology?
The study indicates that the limited exposure to high-efficiency engine operating points (150–200 Nm) highlights a clear advantage for hybrid-technology in reducing overall fuel consumption.
- Arbeit zitieren
- Gerald Bonengel (Autor:in), 2012, Determination of a characteristic driver modell, München, GRIN Verlag, https://www.grin.com/document/208434
