A Study of Electronic Control Unit (ECU) Design and Hybrid Simulation for Motorcycle Engine

Jiang, Yankun; Ren, Guanghui; Liu, Bin; Pi, Bin

doi:10.4271/2008-01-1736

Cited by 2 publications

(2 citation statements)

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“…The literature study part of my thesis includes an exhaustive survey of previous work that has addressed topics like motorcycle performance, electronic control unit analysis, and how pollution regulations have affected automotive technology. Jong-Hyun Lee and Chang Wook Ahn [1] introduce an evolutionary machine learning algorithm that can identify a driver's tendencies by efficiently learning from the extensive data collected by the vehicle's electronic control unit (ECU) sensors. The effectiveness of the algorithm is confirmed through system building, data collection, analysis, and comparison testing.…”

Section: Literature Reviewmentioning

confidence: 99%

Differentiating Motorcycle Performance Between BS4 and BS6 Generation of KTM RC 390 Motorcycle using Data Visualization

2024

jmc

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This research project is crucial to understanding how motorcycle design is influenced by transitioning from Bharat Stage (BS) 4 to Bharat Stage (BS) 6 emission standards, particularly in the context of the KTM RC390 models from 2017 and 2020. The importance of this research is twofold. To begin with, it lets us evaluate how changes to emission standards would affect things like engine management systems, emissions control technologies, environmental compliance, fuel economy, performance, and performance on motorcycles. The second benefit is that it gives people the tools they need to make educated decisions when buying motorbikes. In order to make my results more understandable, I want to use data visualization tools such as Matplotlib, Tableau, and Google Charts to show the differences between the two models. Next, I will create an intuitive website that presents this data in an easy-tounderstand format. I want to do this by making use of the state-of-the-art FRAMER tool for website creation and design. Essentially, this study connects motorcycle design to pollution requirements, which helps consumers make better selections and uses technology to display facts clearly.

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Section: Literature Reviewmentioning

confidence: 99%

Differentiating Motorcycle Performance Between BS4 and BS6 Generation of KTM RC 390 Motorcycle using Data Visualization

2024

jmc

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“…Competition pressure becomes more and more intense, so development cycles of new products needs to be constantly reduced. Under this situation, only if the speed for software development is controlled as quickly as possible can the speed for new product development be achieved [1].…”

Section: Introductionmentioning

confidence: 99%

Research on Signal Simulator at Crankshaft of Motorcycle Gasoline Engine

Wang

Yang

Zhang³

et al. 2012

AMR

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Cam signals, crankshaft signals and angle signals were simulated by analogue crankshaft position sensors developed by C8051F series micro processors to emulate the operational environment of motorcycle engine. In the software development platform of gasoline engine, software running status of control system was tested. MP424 high-speed sampling card was applied to actually observe properties of ignition advance angle and fuel injection advance angle. The experiment suggested that practically observed fuel injection pulse width, ignition pulse width, properties of ignition advance angle and fuel injection advance angle were the same as those of models of control system software. This proved that the analogue crankshaft position sensor that has been developed is practical and feasible.

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A Study of Electronic Control Unit (ECU) Design and Hybrid Simulation for Motorcycle Engine

Cited by 2 publications

References 0 publications

Differentiating Motorcycle Performance Between BS4 and BS6 Generation of KTM RC 390 Motorcycle using Data Visualization

Differentiating Motorcycle Performance Between BS4 and BS6 Generation of KTM RC 390 Motorcycle using Data Visualization

Research on Signal Simulator at Crankshaft of Motorcycle Gasoline Engine

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