Piezoelectric Fuel Injection: Pulse-to-Pulse Coupling and Flow Rate Estimation

Satkoski, Chris A.; Shaver, Gregory M.

doi:10.1109/tmech.2010.2048334

Cited by 18 publications

(13 citation statements)

References 13 publications

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“…12, bottom left. Yet, they are used on many engines due to the rapid and precise opening they generate [52][53].…”

Section: A Fuel Injectorsmentioning

confidence: 99%

Automotive Electrification: The Nonhybrid Story

Lequesne

2015

IEEE Trans. Transp. Electrific.

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The electrification of the automobile has a long history. Electric and hybrid vehicles are actually only a small part of it, albeit presently the most visible and the one getting the most attention in popular media. This paper will focus on the rest of the story, that is, aspects of transportation electrification other than hybrid or fully-electric propulsion systems. Recent progress (last 10-20 years) and current work on the electrification of road transport, from chassis to powertrains, will be reviewed with a focus on electromechanical systems. In the process, the numerous challenges engineers have overcome or have yet to solve will be highlighted, thus illustrating the many different ways electrical engineering is making its mark in providing more performant, more efficient, safer, and more pleasant means of personal transportation.

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“…12, bottom left. Yet, they are used on many engines due to the rapid and precise opening they generate [52][53].…”

Section: A Fuel Injectorsmentioning

confidence: 99%

Automotive Electrification: The Nonhybrid Story

Lequesne

2015

IEEE Trans. Transp. Electrific.

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“…Initial estimates for and State observation has become a usual control technique applied to a wide range of systems, including mechatronics, [43][44][45][46] where any kind of state observer, such as the Kalman filter, [47,48] extended Kalman filter (EKF), [49][50][51] unscented Kalman filter, [52,53] sliding mode observer, [54] Luenberger observer, [55,56] or others, [57][58][59][60] is used to obtain the value of one or more variables which cannot be easily measured. All the state observers are developed to be applied to the mathematical model of the system, like in terms of state-space formulation, [48] nonlinear discrete-time equations, [43] or differential equations.…”

Section: Downloaded By [University Of Illinois Chicago] At 21:37 26 Nmentioning

confidence: 99%

Tyre–road grip coefficient assessment – Part II: online estimation using instrumented vehicle, extended Kalman filter, and neural network

Luque

Mántaras

Fidalgo

et al. 2013

Vehicle System Dynamics

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The main objective of this work is to determine the limit of safe driving conditions by identifying the maximal friction coefficient in a real vehicle. The study will focus on finding a method to determine this limit before reaching the skid, which is valuable information in the context of traffic safety. Since it is not possible to measure the friction coefficient directly, it will be estimated using the appropriate tools in order to get the most accurate information. A real vehicle is instrumented to collect information of general kinematics and steering tie-rod forces. A real-time algorithm is developed to estimate forces and aligning torque in the tyres using an extended Kalman filter and neural networks techniques. The methodology is based on determining the aligning torque; this variable allows evaluation of the behaviour of the tyre. It transmits interesting information from the tyre-road contact and can be used to predict the maximal tyre grip and safety margin. The maximal grip coefficient is estimated according to a knowledge base, extracted from computer simulation of a high detailed three-dimensional model, using Adams ® software. The proposed methodology is validated and applied to real driving conditions, in which maximal grip and safety margin are properly estimated.

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“…[2][3][4][5][6][7][8][9]. Krogerus et al [10] have presented a survey of the analysis, modelling, and diagnostics of diesel fuel injection systems.…”

Section: Introductionmentioning

confidence: 99%

“…Estimation of injected fuel amount has been studied in [2][3][4][5]. Hoffmann et al [2] developed a model-based injection rate estimator, which takes into account the change in the injection behaviour due to wear and aging effects within the injector's nozzle.…”

Section: Introductionmentioning

confidence: 99%

“…Hoffmann et al [2] developed a model-based injection rate estimator, which takes into account the change in the injection behaviour due to wear and aging effects within the injector's nozzle. Satkoski et al [3,4] summarize the development of a physics-based fuel flow estimator. Available measurements of piezo stack voltage and rail-to-injector line pressure are used for dynamic state estimation.…”

Section: Introductionmentioning

confidence: 99%

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Diagnostics and Identification of Injection Duration of Common Rail Diesel Injectors

Krogerus

Huhtala

2018

Open Engineering

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Abstract:In this paper, we study the diagnostics and identification of injection duration of common rail (CR) diesel pilot injectors of dual-fuel engines. In these pilot injectors, the injected volume is small and the repeatability of the injections and identification of the drifts of the injectors are important factors, which need to be taken into account in achieving good repeatability (shot-to-shot with every cylinder) and therefore a well-balanced engine and reduced overall wear. A diagnostics method based on analysis of CR pressure signal with experimental verification results is presented. Using the developed method, the relative duration of injection events can be identified. In the method, the pressure signal during the injection is first extracted after the control of each injection event. After that, the signal is normalized and filtered. Then a derivative of the filtered signal is calculated. Change in the derivative of the filtered signal larger than a predefined threshold indicates an injection event which can be detected and its relative duration can be identified. The efficacy of the proposed diagnostics method is presented with the experimental results, which show that the developed method detects drifts in injection duration and the magnitude of drift. According to the result, ≥ 10 µs change (2%, 500 µs) in injection time can be identified.

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Piezoelectric Fuel Injection: Pulse-to-Pulse Coupling and Flow Rate Estimation

Cited by 18 publications

References 13 publications

Automotive Electrification: The Nonhybrid Story

Automotive Electrification: The Nonhybrid Story

Tyre–road grip coefficient assessment – Part II: online estimation using instrumented vehicle, extended Kalman filter, and neural network

Diagnostics and Identification of Injection Duration of Common Rail Diesel Injectors

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