A novel method for real time detection misfire of a smaller capacity spark ignition engine TVS Motor Co Limited

Format:

Book

Conference/Event

Author/Creator:

Bagade, Monika Jayprakash, author.

Contributor:

Das, Himadri

Jabez Dhinagar, S.

Conference Name:

15th International Conference on Engines & Vehicles (2021-09-12 : Capri, Italy)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2021

Summary:

As per the OBD II regulations, it is essential to detect andmonitor the misfire event in an I.C. engine. Misfire in the enginecauses incomplete combustion or no combustion, which results intoincrease in emission of exhaust gases as well as early aging of 3Wcatalytic converter. Misfire event can be categorized as partial orfull, based on amount of combustion occurred during that particularengine cycle. There are several techniques available in previouslypublished work for the detection of misfire based on measurementsof crankshaft speed, in-cylinder pressure, crankshaft torque, et ceteraHowever, low mechanical inertia and stochastic load disturbances ofsmaller capacity Place of publication not identified engine causes several challenges for thesetechniques and may not be accurate for detection of misfire in allthe operating regions of the engine. Ion current sensing can be oneof the most prominent method for detection misfire for smallercapacity Place of publication not identified engine. The time-varying ion current signal iscaptured with the help of ion current measurement circuit proposedby the author in her previous publication. The captured signalneeds to be processed to detect misfire. Multiple techniques areexplored in time domain to differentiate the misfire from normalcombustion event with the help of the ion current signal. Real timeFast Fourier transform (RTFFT) is the method proposed in this paperto detect any kind of misfire for the mentioned engine type. Thenovelty of the proposed method lies in processing the signalinformation within a very short time window for the identification& classification of misfire events. Ion current signal showslot of dynamics in normal combustion condition compared to that ofmisfire conditions. Frequency spectrum of the signal can be used toextract the essential information and to differentiate between nomisfire and misfire conditions. RTFFT is performed to observe thefeatures of signal in frequency domain. The misfire can be detectedby extracting the information from the FFT spectrum of the ioncurrent signal in every spark event. In order to capture misfireevent at all engine speed, large sample sizes are required intraditional frequency domain approach. A design of FFT for realtime processing of ion current signal demands very high speed andlarge memory hardware system. This paper investigate and propose amethod to efficiently implement the RTFFT algorithm. Hardwareimplementation of RTFFT algorithm on the field programmable gatearray (FPGA) platform is presented in this paper for high speed andaccurate detection of misfire

Notes:

Vendor supplied data

Publisher Number:

2021-24-0031

Access Restriction:

Restricted for use by site license