Relevant bibliographies by topics / Electronic load sensing

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Electronic load sensing'

Author: Grafiati
Published: 30 May 2022
Last updated: 19 July 2025

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Journal articles on the topic "Electronic load sensing"

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Li, Yan Jie, Tian Yu Cui, Ji Hai Jiang, and Cai Xin Yu. "The Principle of a Novel Load Sensing Hydraulic System and Design of the Electronic Control System." Applied Mechanics and Materials 233 (November 2012): 119–22. http://dx.doi.org/10.4028/www.scientific.net/amm.233.119.

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Abstract. Based on the load-sensing control principle, a novel type of electronic load sensing hydraulic system was developed. Taking a two-loads system for example, the design and analysis of the novel hydraulic system principle was completed and an electronic control system was accomplished using TTC60 controller. A preliminary experimental study was completed. The experimental studies show that the new system can not only achieve the traditional load-sensing control function, but also improve the level of electronic control system.
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Liu, Cheng, Yitao Zhuang, Amir Nasrollahi, Lingling Lu, Mohammad Faisal Haider, and Fu-Kuo Chang. "Static Tactile Sensing for a Robotic Electronic Skin via an Electromechanical Impedance-Based Approach." Sensors 20, no. 10 (2020): 2830. http://dx.doi.org/10.3390/s20102830.

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Tactile sensing is paramount for robots operating in human-centered environments to help in understanding interaction with objects. To enable robots to have sophisticated tactile sensing capability, researchers have developed different kinds of electronic skins for robotic hands and arms in order to realize the ‘sense of touch’. Recently, Stanford Structures and Composites Laboratory developed a robotic electronic skin based on a network of multi-modal micro-sensors. This skin was able to identify temperature profiles and detect arm strikes through embedded sensors. However, sensing for the static pressure load is yet to be investigated. In this work, an electromechanical impedance-based method is proposed to investigate the response of piezoelectric sensors under static normal pressure loads. The smart skin sample was firstly fabricated by embedding a piezoelectric sensor into the soft silicone. Then, a series of static pressure tests to the skin were conducted. Test results showed that the first peak of the real part impedance signal was sensitive to static pressure load, and by using the proposed diagnostic method, this test setup could detect a resolution of 0.5 N force. Numerical simulation methods were then performed to validate the experimental results. The results of the numerical simulation prove the validity of the experiments, as well as the robustness of the proposed method in detecting static pressure loads using the smart skin.
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Al-Nasser, Samira, Siamak Noroozi, Adrian Harvey, Navid Aslani, and Roya Haratian. "Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements." Sensors 24, no. 2 (2024): 585. http://dx.doi.org/10.3390/s24020585.

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Using tibial sensors in total knee replacements (TKRs) can enhance patient outcomes and reduce early revision surgeries, benefitting hospitals, the National Health Services (NHS), stakeholders, biomedical companies, surgeons, and patients. Having a sensor that is accurate, precise (over the whole surface), and includes a wide range of loads is important to the success of joint force tracking. This research aims to investigate the accuracy of a novel intraoperative load sensor for use in TKRs. This research used a self-developed load sensor and artificial intelligence (AI). The sensor is compatible with Zimmer’s Persona Knee System and adaptable to other knee systems. Accuracy and precision were assessed, comparing medial/lateral compartments inside/outside the sensing area and below/within the training load range. Five points were tested on both sides (medial and lateral), inside and outside of the sensing region, and with a range of loads. The average accuracy of the sensor was 83.41% and 84.63% for the load and location predictions, respectively. The highest accuracy, 99.20%, was recorded from inside the sensing area within the training load values, suggesting that expanding the training load range could enhance overall accuracy. The main outcomes were that (1) the load and location predictions were similar in accuracy and precision (p > 0.05) in both compartments, (2) the accuracy and precision of both predictions inside versus outside of the triangular sensing area were comparable (p > 0.05), and (3) there was a significant difference in the accuracy of load and location predictions (p < 0.05) when the load applied was below the training loading range. The intraoperative load sensor demonstrated good accuracy and precision over the whole surface and over a wide range of load values. Minor improvements to the software could greatly improve the results of the sensor. Having a reliable and robust sensor could greatly improve advancements in all joint surgeries.
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Pudur, Rajen, and Sarsing Gao. "Performance Analysis of Savonius Rotor Based Hydropower Generation Scheme with Electronic Load Controller." Journal of Renewable Energy 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/4127619.

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This paper describes the performance of electronic load controller (ELC) of asynchronous generator (AG) coupled to an uncontrolled Savonius turbine and variable water velocity. An AC-DC-AC converter with a dc link capacitor is employed to maintain the required frequency. The ELC which is feeding a resistive dump load is connected in parallel with the generating system and the power consumption is varied through the duty cycle of the chopper. Gate triggering of ELC is accomplished through sinusoidal pulse width modulation (SPWM) by sensing the load current. A MATLAB/Simulink model of Savonius rotor, asynchronous generator, ELC, and three-phase load is presented. The proposed scheme is tested under various load conditions under varying water velocities and the performances are observed to be satisfactory.
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Agliullin, Timur, Robert Gubaidullin, Airat Sakhabutdinov, Oleg Morozov, Artem Kuznetsov, and Valentin Ivanov. "Addressed Fiber Bragg Structures in Load-Sensing Wheel Hub Bearings." Sensors 20, no. 21 (2020): 6191. http://dx.doi.org/10.3390/s20216191.

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The work presents an approach to instrument the load-sensing bearings for automotive applications for estimation of the loads acting on the wheels. The system comprises fiber-optic sensors based on addressed fiber Bragg structures (AFBS) with two symmetrical phase shifts. A mathematical model for load–deformation relation is presented, and the AFBS interrogation principle is described. The simulation includes (i) modeling of vehicle dynamics in a split-mu braking test, during which the longitudinal wheel loads are obtained, (ii) the subsequent estimation of bearing outer ring deformation using a beam model with simply supported boundary conditions, (iii) the conversion of strain into central frequency shift of AFBS, and (iv) modeling of the beating signal at the photodetector. The simulation results show that the estimation error of the longitudinal wheel force from the strain data acquired from a single measurement point was 5.44% with a root-mean-square error of 113.64 N. A prototype load-sensing bearing was instrumented with a single AFBS sensor and mounted in a front right wheel hub of an experimental vehicle. The experimental setup demonstrated comparable results with the simulation during the braking test. The proposed system with load-sensing bearings is aimed at estimation of the loads acting on the wheels, which serve as input parameters for active safety systems, such as automatic braking, adaptive cruise control, or fully automated driving, in order to enhance their effectiveness and the safety of the vehicle.
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Wang, Yifeng, Shoutai Li, Peigen Wang, et al. "A multifunctional electromagnetic device for vibration energy harvesting and rail corrugation sensing." Smart Materials and Structures 30, no. 12 (2021): 125012. http://dx.doi.org/10.1088/1361-665x/ac31c5.

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Abstract A multifunctional electromagnetic device for harvesting rail vibration energy and sensing rail corrugation is proposed. Firstly, the optimal coil position is investigated theoretically and verified through experiments. Then, experimental frequency-sweeping tests are carried out to understand the response characteristics of the harvester. Two sections of a metro line with/without rail corrugations are selected to measure rail roughness and vibration. Using the field-measured rail vibration as excitations, the response characteristics of the harvester are investigated through indoor experiments. Experimental results demonstrate that occurrences of corrugation can be identified through time-frequency analysis of the electromotive forces of the harvester. Besides, electrical load tests under normal rail vibration demonstrate that this harvester will yield its maximum power of 18.6 mW (average power: 1.5 mW) when the resistance of the external electrical load is close to the internal resistance of the coil. The capability to energise small commercial electronic devices is verified by charging a supercapacitor, and driving LEDs, a digital clock, and a thermo-hygrometer to work, respectively. The capabilities of the harvester for powering low-power electronics and sensing rail corrugation pave the wave for designing a self-powered sensing node for rail corrugation monitoring.
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Lin, Hsiung-Cheng, Heng-Chuan Zo, and Bo-Rong He. "Advanced Fast Large Current Electronic Breaker Using Integration of Surge Current Suppression and Current Divider Sensing Methods." Journal of Sensors 2019 (January 13, 2019): 1–8. http://dx.doi.org/10.1155/2019/6256735.

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Electronic breakers or fuses are most widely used tools to protect the electric-driven facilities from overload or short circuit. However, they may suffer from two major drawbacks: (1) it normally takes more than 0.1 s to react, resulting in facilities not sufficiently protected, and (2) a higher rating size of breakers or fuses is demanded than expected due to lack of a surge current suppression mechanism. To overcome these problems, this paper proposes a fast large current electronic breaker based on the integration of current divider sensing and surge suppressing methods. The load surge current can be effectively suppressed by series negative temperature coefficient (NTC) thermistors. The load current is then divided into a small portion and converted to a voltage signal for amplification and comparison with the predefined threshold value, i.e., the maximum load tolerance current. AC power will be disconnected immediately by the switching circuit once the load current exceeds the tolerance value. The disconnection of power supply will continue for a period of time set by the timer. The experimental results verify that the proposed electronic breaker can provide a large load current protection up to 20 A under effective surge suppression within 10 ms.
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Zawawi, Siti Aisyah, Azrul Azlan Hamzah, Burhanuddin Yeop Majlis, and Faisal Mohd-Yasin. "The Fabrication and Indentation of Cubic Silicon Carbide Diaphragm for Acoustic Sensing." Micromachines 12, no. 9 (2021): 1101. http://dx.doi.org/10.3390/mi12091101.

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In this study, 550 nm thick cubic silicon carbide square diaphragms were back etched from Si substrate. Then, indentation was carried out to samples with varying dimensions, indentation locations, and loads. The influence of three parameters is documented by analyzing load-displacement curves. It was found that diaphragms with bigger area, indented at the edge, and low load demonstrated almost elastic behaviour. Furthermore, two samples burst and one of them displayed pop-in behaviour, which we determine is due to plastic deformation. Based on optimum dimension and load, we calculate maximum pressure for elastic diaphragms. This pressure is sufficient for cubic silicon carbide diaphragms to be used as acoustic sensors to detect poisonous gasses.
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Azzam, Baher, Ralf Schelenz, and Georg Jacobs. "Sensor Screening Methodology for Virtually Sensing Transmission Input Loads of a Wind Turbine Using Machine Learning Techniques and Drivetrain Simulations." Sensors 22, no. 10 (2022): 3659. http://dx.doi.org/10.3390/s22103659.

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The ongoing trend of building larger wind turbines (WT) to reach greater economies of scale is contributing to the reduction in cost of wind energy, as well as the increase in WT drivetrain input loads into uncharted territories. The resulting intensification of the load situation within the WT gearbox motivates the need to monitor WT transmission input loads. However, due to the high costs of direct measurement solutions, more economical solutions, such as virtual sensing of transmission input loads using stationary sensors mounted on the gearbox housing or other drivetrain locations, are of interest. As the number, type, and location of sensors needed for a virtual sensing solutions can vary considerably in cost, in this investigation, we aimed to identify optimal sensor locations for virtually sensing WT 6-degree of freedom (6-DOF) transmission input loads. Random forest (RF) models were designed and applied to a dataset containing simulated operational data of a Vestas V52 WT multibody simulation model undergoing simulated wind fields. The dataset contained the 6-DOF transmission input loads and signals from potential sensor locations covering deformations, misalignments, and rotational speeds at various drivetrain locations. The RF models were used to identify the sensor locations with the highest impact on accuracy of virtual load sensing following a known statistical test in order to prioritize and reduce the number of needed input signals. The performance of the models was assessed before and after reducing the number of input signals required. By allowing for a screening of sensors prior to real-world tests, the results demonstrate the high promise of the proposed method for optimizing the cost of future virtual WT transmission load sensors.
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Hirabayashi, Manato, Yukihiro Saito, Kosuke Murakami, Akihito Ohsato, Shinpei Kato, and Masato Edahiro. "Vision-Based Sensing Systems for Autonomous Driving: Centralized or Decentralized?" Journal of Robotics and Mechatronics 33, no. 3 (2021): 686–97. http://dx.doi.org/10.20965/jrm.2021.p0686.

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The perception of the surrounding circumstances is an essential task for fully autonomous driving systems, but its high computational and network loads typically impede a single host machine from taking charge of the systems. Decentralized processing is a candidate to decrease such loads; however, it has not been clear that this approach fulfills the requirements of onboard systems, including low latency and low power consumption. Embedded oriented graphics processing units (GPUs) are attracting great interest because they provide massively parallel computation capacity with lower power consumption compared to traditional GPUs. This study explored the effects of decentralized processing on autonomous driving using embedded oriented GPUs as decentralized units. We implemented a prototype system that off-loaded image-based object detection tasks onto embedded oriented GPUs to clarify the effects of decentralized processing. The results of experimental evaluation demonstrated that decentralized processing and network quantization achieved approximately 27 ms delay between the feeding of an image and the arrival of detection results to the host as well as approximately 7 W power consumption on each GPU and network load degradation in orders of magnitude. Judging from these results, we concluded that decentralized processing could be a promising approach to decrease processing latency, network load, and power consumption toward the deployment of autonomous driving systems.
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Dissertations / Theses on the topic "Electronic load sensing"

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Skvorchevsky, A. Y. "ELS capacity control system for axial-piston pumps." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/46920.

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Скворчевський, Олександр Євгенович. "Нове покоління гідравлічних приводів для мобільних машин на основі принципу e-LOAD SENSING (e-LS)". Thesis, Харківський національний автомобільно-дорожній університет, 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/41789.

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Joy, Dawn, and Karthik Sekaran. "Electronic Pump Control and Benchmarking of Simulation Tools : AMESim and GT Suite." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69567.

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Load sensing pumps in hydraulic system of wheel loaders helps in increasing the energy efficiency of wheel loaders. Present day machines have hydro mechanical load sensing system. After the advent of hydro mechanical load sensing concept, over the years, lots of research has been carried out relevant to electro hydraulic load sensing, trying to control the pump electronically. Currently, Volvo Construction Equipments (VCE) is interested in investigating the possibility of implementing electro hydraulic load sensing system in the wheel loaders. Research works has shown existence of several configurations of electro hydraulic load sensing pumps. Successful simulation results of an electro hydraulic load sensing pump configuration would provide a backing for the proposal of building and testing that configuration of electro hydraulic load sensing pump prototype. Also, the thesis work aims in benchmarking hydraulic system simulation capabilities of AMESim and GT- Suite by simulating the existing hydro mechanical load sensing system in both in both the simulation packages.<br>The thesis work has been carried out at Virtual Product Development (VPD) division of Volvo Construction Equipments (VCE), Eskilstuna, Sweden.
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Book chapters on the topic "Electronic load sensing"

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Skvorchevsky, Alexander. "Electronic Load Sensing for Integrating Electro-Hydraulic Mechatronic Actuators with Industry 4.0 and 5.0 Components." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40628-7_37.

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Conference papers on the topic "Electronic load sensing"

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Ishikawa, Shinichi, and Ryosuke Tasaki. "Feedback Control of Printing Nozzle by Force Sensing Device with High-accuracy Load Cell." In 2024 IEEE Industrial Electronics and Applications Conference (IEACon). IEEE, 2024. https://doi.org/10.1109/ieacon61321.2024.10797376.

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Chakravarty, Sujit Kumar, Amul Batra, Neeti Singh, and Gajendra Kumar. "Adaptive Scheduling Using the MQTT Protocol in the IoT Based on Environmental Sensing and Network Load." In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2025. https://doi.org/10.1109/sceecs64059.2025.10941646.

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Jayaraman, Ganga P., and Stephen V. Lunzman. "Modeling and analysis of an electronic load sensing pump." In Control (MSC). IEEE, 2011. http://dx.doi.org/10.1109/cca.2011.6044497.

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Hansen, Rico H., Asger M. Iversen, Mads S. Jensen, Torben O. Andersen, and Henrik C. Pedersen. "Modeling and Control of a Teletruck Using Electronic Load Sensing." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25270.

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In mobile hydraulic application the actuating fluid power system is most commonly controlled using a hydro-mechanical control scheme called Hydraulic Load Sensing (HLS). However, with the demands for increased efficiency and controllability the HLS solutions are reaching their limits. Motivated by availability of electronic controllable fluid power components and the potential of increased dynamic performance and efficiency, this paper investigates how HLS can be replaced with electronic control, i.e. Electronic Load Sensing (ELS). The investigation is performed by taking a specific application, a teletruck, and replace the HLS control with ELS. To aid the controller design for the ELS system, a complete model of the teletruck’s articulated arm and fluid power system is developed. To show the feasibility, a preliminary control structure for the ELS system is developed. The controller is tested on the machine, validating that features such as pump pressure control, flow sharing and over pressure protection can be implemented using ELS and with improved energy efficiency.
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Ravikumar, Dhanasekar, Vijayaraja Loganathan, Kaushik Narayanan, Anandan Ravi sankar, and Guru Sharan Muthu Govindasamy. "Intelligent Sensing and Control System for Real-Time Graded Load Shedding." In The 4th International Electronic Conference on Applied Sciences. MDPI, 2023. http://dx.doi.org/10.3390/asec2023-15978.

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Ding, Xuyang, Xiaohui Liu, Rui Zhang, Shan Tang, Linqin Sun, and Ying Xie. "Improved YARN resource scheduling algorithm based on network load sensing." In 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/aest-16.2016.114.

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Hansen, Michael Rygaard, Torben Ole Andersen, and Henrik Clemmensen Pedersen. "Robust Electric Load Sensing Applied to an Open Circuit Axial Piston Pump." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13033.

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Electronic load sensing (ELS) systems have long been expected to start replacing traditional (hydro-mechanical) load sensing (LS) systems, which today are the standard on most medium and high-end mobile hydraulic applications. The reason for this being the potentials that ELS brings relative to traditional LS-systems, in terms of better control and system utilization possibilities, combined with the increased acceptance and use of electronic sensors in mobile hydraulic machinery. The current work is to evaluate the suitability of an ELS concept applied to a Sauer Danfoss Series 45 H-frame open circuit axial piston pump. Emphasis is on performance robustness with respect to both variations in internal physical parameters of the pump as well as the type of application dependent load which the pump is expected to drive. The pressure control is established by means of cascade control utilizing four control loops with the outer being the pump pressure and then, in succession, the swash plate rotation, the spool position and the voice coil current. The proposed controller has been implemented experimentally and verified.
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Jayaraman, Ganga P., and Stephen V. Lunzman. "Parameter estimation of an electronic load sensing pump using the Recursive Least Squares algorithm." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5717577.

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Haibin Liu, Wenqiang Ji, and Junjie Hou. "A robust control method for load electronic system of autonomous remote sensing satellite in-orbit." In 2014 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2014. http://dx.doi.org/10.1109/itec-ap.2014.6940802.

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Cavina, Nicolò, Matteo De Cesare, Vittorio Ravaglioli, Fabrizio Ponti, and Federico Covassin. "Full Load Performance Optimization Based on Turbocharger Speed Evaluation via Acoustic Sensing." In ASME 2014 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icef2014-5677.

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Turbocharger performance optimization on passenger car engines is particularly challenging, especially in case of severe engine downsizing and downspeeding. On high performance engines (e.g., heavy duty truck applications) turbocharger speed measurement is usually performed with the aim of maximizing engine power and torque, limiting turbocharger over-speed, which is harmful for its durability and reliability. This solution is too expensive for passenger cars, and the turbocharger speed sensor is typically not available. In this work, an innovative and low cost sensing chain for the rotational speed evaluation of the turbocharger is applied. With this information, obtained via an acoustic sensor, a new turbocharger control architecture has been developed to optimize turbocharger performance, in order to improve engine output torque under full load conditions. After a brief description of the new sensing chain and of the electronic components developed to manage this kind of information, the paper shows the new control architecture that takes advantage of the turbocharger speed information. Moreover, experimental results on a small turbocharged Diesel engine for passenger car applications are presented, demonstrating the achieved benefits.
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