Smart in-cylinder pressure sensor for closed-loop combustion control

Our approach of a closed-loop combustion control is built on an intensively evaluated robust cylinder pressure sensor with integrated smart electronics and an openly programmed engine control unit. The presented pressure sensor consists of a steel membrane and a highly strain-sensitive thin film with laser-welded electrical contacts. All components are optimized for reliable operation at high temperatures. The sensor setup safely converts the in-cylinder pressure of a combustion engine at temperatures of up to 200 ∘C into the desired electrical values. Furthermore, the embedded smart electronics provides a fast analogue to digital conversion and subsequently computes significant combustion parameters in real time, based on implemented thermodynamic equations, namely the 50 % mass fraction burned, the indicated mean effective pressure, the maximum pressure and a digital value, which represents the intensity of knocking. Only these aggregated parameters – not the running pressure values – are sent to the engine control unit. The data communication between the smart sensor and the engine control unit is based on the controller area network bus system, which is widely spread in the automotive industry and allows a robust data transfer minimizing electrical interferences. The established closed-loop combustion control is able to control the ignition angle in accordance with the 50 % mass fraction burned at a certain crankshaft angle. With this loop, the combustion engine is controlled and run efficiently even if the ignition angle is intentionally incorrectly adjusted. The controlled and automatic correction of simulated ageing effects is demonstrated as well as the self-adjustment of an efficient operation when different fuels are used. In addition, our approach saves the computing capacity of the engine control unit by outsourcing the data processing to the sensor system.

PEMBUATAN ALAT TPS (THROTTLE POSITION SENSOR) CHECKER PADA SEPEDA MOTOR HONDA REVO PGM-FI BERBASIS IOT MENGGUNAKAN MODUL ESP32

Berkembangnya teknologi membuat mesin kendaraan sekarang menggunakan sistem injeksi yang dilengkapi dengan berbagai komponen dan sensor untuk mendukung proses pembakaran di ruang mesin. Salah satunya yaitu TPS (Throttle Position Sensor). Sensor TP berfungsi untuk mendeteksi adanya perubahan posisi pada throttle gas. Adanya kerusakan pada sensor TP dapat mempengaruhi performa dari kendaraan. Umumnya pengecekan sensor TP dilakukan menggunakan multimeter yang tentunya sulit untuk dilakukan, karena posisi dari sensor TP yang sulit dijangkau. Maka dari itu dibutuhkan alat yang mampu digunakan untuk mengecek kondisi sensor TP secara efisien. TPS Checker merupakan alat yang digunakan untuk mengecek kondisi sensor TP melalui pengukuran tegangan pada input dan output sensor TP serta hambatannya sesuai dengan kondisi bukaan throttle gas. Hasil pengukuran didapat dari rumus pembagi tegangan (voltage divider). Alat TPS checker dibuat dengan menggunakan microcontroller ESP32 yang dapat dihubungkan dengan smartphone untuk menampilkan hasil pengukuran secara real-time melalui aplikasi Blynk serta dilengkapi fitur reset untuk menghapus data kerusakan yang sudah terdeteksi dan tersimpan di Engine Control Unit (ECU). TPS Checker dapat digunakan untuk mengukur sensor TP pada seluruh kendaraan injeksi, namun penulis melakukan pengujian TPS Checker menggunakan sepeda motor Honda Revo PGM-FI. Setiap tipe kendaraan memiliki standar pengukuran yang berbeda-beda. Standar pengukuran pada motor Honda Revo PGM-FI yaitu tegangan sensor TP sebesar 4,75V – 5,25V dan hambatan berada pada rentang 0 – 5K Ohm. Dari hasil pengujian TPS Checker dapat disimpulkan bahwa alat ini mampu digunakan untuk melakukan pengukuran pada sensor TP serta menghapus kode kerusakan pada sepeda motor Honda Revo PGM-FI.

IMPLEMENTASI ALGORITMA K-MEANS DAN ALGORITMA APRIORI OPTIMASI KINERJA ECU (STUDY KASUS MOBIL AVANZA DAN XENIA)

Saat ini sistem kendaran sudah dikontrol menggunakan elektronik ECU (Engine Control Unit) .Kerusakan ECU akan mempengaruhi kinerja mesin, maka dibutuhkan sistem yang dapat menangani permasalahan dalam medeteksi secara akurat cepat dalam mengambil keputusan. Dalam clustering data, terdapat beberapa algoritma yang dapat digunakan, seperti, Algoritma K-Means dan Algoritma A Priori adalah algoritma dengan tingkat akurasi yang tinggi dan terbaik di antara ketiga algoritma ini dengan cara melakukan perbandingan menggunakan Rapidminer. Perbandingan algoritma bertujuan untuk mendapatkan hasil dan prediksi dari penelitian yang telah dilakukan. Pengembangan Sistem Analisis dengan K-Mains dan Data Clustering ini menjadi solusi untuk membantu menganalisis data-data dalam proses menganalisa optimasi kinerja ECU terhadap kinerja mesin kendaraan meliputi pengambilan data, mengolah data, medeteksi kelemahan dalam perubahan data digital agar dengan cepat dapat mengoptimalkan kinerja ECU dalam pengelompokan data menggunakan K-means clustering. Dari Hasil penelitian Clustering K-Means didapat C1(781-784), C2(896-927), C3(1223-1321), C4(1460-1587), dan C5(1689-2716) Engine RPM dan A-Priori Suport AUB rata- rata 20% , Suport A rata-rata 80% dan nilai Confidence Rata-Rata 80%. Berdasarkan Pada remapping variasi 3 derajat pengapian maju menghasilkan Daya mesin dan torsi mesi stabil pada putaran rendah 1000 rpm ke putaran tinggi 2176 rpm dengan remapping sesuai dengan kondisi mesin pada saat pengujian.

Analysis of sea trial data of the ship's main motor using the overview engine control unit

This study was conducted to obtain the results of mapping and analysis of sea trial data after maintenance of the motor lubrication and cooling system using the Engine Control Unit (ECU) so that recommendations for maintenance activities for damage control have been completed. The results of data analysis indicate that the pressure and temperature in the system return to normal in the allowable parameters tend to be the same or there is no change if repeated at the same rotation, the pressure rises and falls according to the engine speed. This data is an indicator that both system data has been successfully returned after treatment. Engineers should always write down the data in the engine journal so that if the ECU records data that is not in accordance with sea trial data, maintenance is immediately carried out to avoid further damage

Automatic Boat for Fisherman

This paper describes about the border alerting system for fishermen using GPS and engine control unit. In day-to-day life, many problems challenged by the Indian fishermen, and these were captured by the neighbouring countries because of crossing the border. The target of this system is to encourage the fishermen to explore and be always inside our sea nation border Using GPS (Global Positioning System) and GSM (Global system for mobile communication), GSM sends the message to the coastal guard office. If the boat nearer to the restricted zone the alarm will turned on and the sound keep on increasing and also speed of the engine will get reduced. If the fishermen fail to ignore the warning and they move to reaches the restricted zone, then automatically engine gets off and send the message to the costal guard along with the location of the fisherman. By this way, this system helps Fisherman.

Design of the Electronic Engine Control Unit Performance Test System of Aircraft

In this study, a real-time engine model and a test bench were developed to verify the performance of the EECU (electronic engine control unit) of a turbofan engine. The target engine is a DGEN 380 developed by the Price Induction company. The functional verification of the test bench was carried out using the developed test bench. An interface and interworking test between the test bench and the developed EECU was carried out. After establishing the verification test environments, the startup phase control logic of the developed EECU was verified using the real-time engine model which modeled the startup phase test data with SIMULINK. Finally, it was confirmed that the developed EECU can be used as a real-time engine model for the starting section of performance verification.

PARAMETER CLASSIFICATION SOFTWARE BASED ON CHARACTERIZERS AND KNOWLEDGE BASE FOR ELECTRONIC ENGINE CONTROL UNIT

The article discusses the issues of increasing the efficiency of the classification process of cards of electronic control units of a car engine. The analysis of the existing software for editing calibration tables in electronic engine control unit, which has tools for determining calibrations and data recognition, was carried out. The limits of use of such software products are conditioned by a small number of specified classes of calibration tables and low data processing speed. The analysis of testing results of classification methods using spectral decomposition demonstrated that a system based on this method requires complex transformations of the results of spectral decomposition. The use of spectral decomposition as a solution of the classification problem is possible if some characteristics of the input data are determined and used as data for classification. It was developed a data classification algorithm that uses characterizers to compute a clearly identified characteristic of the input matrix. The software package for the implementation of the developed algorithm was carried out by using the .NET Framework and the C # programming language. The testing of the classification system performance performed by using the developed software system on a small sample of maps. The results of preliminary testing showed that the system determines correctly the class of the provided card after training. Further testing on the Mercedes-Benz Bosch EDC16C31 / EDC16CP31 car block family showed that in cases of a large number of training images, the result meets the requirements. The performed tests allowed us to determine the optimal number of images for training and the time required for this.