Automated EMS Calibration using Objective Driveability Assessment and Computer Aided Optimization Methods

Schöggl, Peter; Koegeler, Hans-Michael; Gschweitl, Kurt; Kokal, Helmut; Williams, P.R.; Hulak, Klaus

doi:10.4271/2002-01-0849

Cited by 17 publications

(3 citation statements)

References 2 publications

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“…3 This can be accomplished using a purely experimental, or a partially model-based, approach [127], [165]. In both cases, the iterations can be performed using heuristics based on experience with previous engine calibration tasks or using systematic approaches, e.g., forming the gradients of the cost function (4.6) and using these vectors in a steepest-descent algorithm as discussed in [140], [91], [148] and [149].…”

Section: Engine Calibrationmentioning

confidence: 99%

Introduction to Modeling and Control of Internal Combustion Engine Systems

2004

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SoftcOVel: reprint of the hardcover 1st edition 2004 The use of general descriptive names, registered names trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Preface Who should read this text?This text is intended for students interested in the design of classical and novel IC engine control systems. Its focus lies on the control-oriented mathematical description of the physical processes involved and on the model-based control system design and optimization. This text has evolved from a lecture series held during the last several years in the mechanical engineering (ME) department at ETH Zurich. The presumed audience is graduate ME students with a thorough understanding of basic thermodynamic and fluid dynamics processes in internal combustion engines (ICE). Other prerequisites are knowledge of general ME topics (calculus, mechanics, etc.) and a first course in control systems. Students with little preparation in basic ICE modeling and design are referred to [52] Why has this text been written?Internal combustion engines represent one of the most important technological success stories in the last 100 years. These systems have become the most frequently used sources of propulsion energy in passenger cars. One of the main reasons that this has occurred is the very high energy density of liquid hydrocarbon fuels. As long as fossil fuel resources are used to fuel cars, there are no foreseeable alternatives that offer the same benefits in terms of cost, safety, pollutant emission and fuel economy (always in a total cycle, or "wellto-wheel" sense, see e.g., [5] and [55]).Internal combustion engines still have a substantial potential for improvements; Diesel (compression ignition) engines can be made much cleaner and Otto (spark ignition) engines still can be made much more fuel efficient. Each goal can be achieved only with the help of control systems. Moreover, with the systems becoming increasingly complex, systematic and efficient system VI Preface design procedures have become technological and commercial necessities. This text addresses these issues by offering an introduction to model-based control system design for ICE. What can be learned from this text?The primary emphasis is put on the ICE (torque production, pollutant formation, etc.) and its auxiliary devices (air-charge control, mixture formation, pollutant abatement systems, etc.). Mathematical models for some of these processes will be developed below. Using these models, selected feedforward and feedback control problems will then be discussed.A model-based approach is chosen because, even though more cumbersome in the beginning, it after proves to be the most cost-effective in the long run. Especially the control system development and calibration processes benefit greatly from mathematical models at early project stages.The appendix contains a brief summary of the most important control...

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Section: Engine Calibrationmentioning

confidence: 99%

Introduction to Modeling and Control of Internal Combustion Engine Systems

2004

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“…Demanded by the increasing complexity and diversity of powertrains, suspensions, steering and brake systems, the research on objectively characterizing the behavior of a vehicle has been widely studied [1][2][3][4][5][6]. Different tools and methods have been developed and applied [7][8][9][10]. While earlier studies were focusing on the impact of the internal combustion engine (ICE) and its exhaust after-treatment systems [11], newer studies investigate all kinds of potential effects created by drivetrain components and their control strategies (e.g., transmissions and electric motors).…”

Section: Introductionmentioning

confidence: 99%

Objective Rating of the Launch Behavior of Conventional, Hybrid and Electric Vehicles

2021

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The calibration of conventional, hybrid and electric drivetrains is an important process during the development phase of any vehicle. Therefore, to optimize the comfort and dynamic behavior (known as driveability), many test drives are performed by experienced drivers during different driving maneuvers, e.g., launch, re-launch or gear shift. However, the process can be kept more consistent and independent of human-based deviations by using objective ratings. This study first introduces an objective rating system developed for the launch behavior of conventional vehicles with automatic transmission, dual-clutch transmission, and alternative drivetrains. Then, the launch behavior, namely comfort and dynamic quality, is compared between two conventional vehicles, a plug-in hybrid electric vehicle and a battery electric vehicle. Results show the benefits of pure electric drivetrains due to the lack of launch and shifting elements, as well as the usage of a highly dynamic electric motor. While the plug-in hybrid achieves a 10% higher overall rating compared to the baseline conventional vehicle, the pure electric vehicle even achieves a 21% higher overall rating. The results also highlight the optimization potential of battery electric vehicles regarding their comfort and dynamic characteristics. The transitions and the gradient of the acceleration build-up have a major influence on the launch quality.

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“…Wide Open Throttle (WOT) operation is used to determine vehicle characteristic [6]. Instantaneous acceleration profile is plotted against time during WOT operation as per Fig.…”

Section: Introductionmentioning

confidence: 99%

Acceleration Response in Determining Vehicles Objective Driveability Assessment

Isa

Abidin

Mansor

2014

AMM

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Vehicle driveability defined as smoothness of a vehicle operation at the will of the driver under all driving conditions. Driveability evaluation is conducted by giving subjective rating based certain test standard procedures. A group of test evaluators performed driveability test and gave individual rating based on subjective feeling. After discussion, a final overall rating is generated with consensus from all evaluators. Human subjective rating can be inconsistent due to physical health condition and individual preferences.Vehicle's acceleration profile can be associated with second order response. Every acceleration profileshas specific damping factorandnatural frequency.A study is conducted to determine the possibility of using second order parameter to setup an objective driveability assessment. Test vehicles with different acceleration conditionsare evaluated to determine driveability subjective rating. Acceleration profile for each vehicles is analyzed to determine its damping factorand natural frequency. A relation of damping factorand natural frequency with subjective driveability rating is established. The established relation of driveability is essential in providing guideline for future ECU calibration and tuning.

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Automated EMS Calibration using Objective Driveability Assessment and Computer Aided Optimization Methods

Cited by 17 publications

References 2 publications

Introduction to Modeling and Control of Internal Combustion Engine Systems

Introduction to Modeling and Control of Internal Combustion Engine Systems

Objective Rating of the Launch Behavior of Conventional, Hybrid and Electric Vehicles

Acceleration Response in Determining Vehicles Objective Driveability Assessment

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