Application of Engine Intelligent Start-Stop System in Technology of Vehicle Fuel Saving

Sheng, Qiao; Yang, Yanding; Li, Yinghao; Zhi, Yue; Wang, Zhen; Zhu, Xiongwei; Xuan, Zhou

doi:10.1109/icmtma.2014.35

Cited by 11 publications

(6 citation statements)

References 4 publications

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“…When the engine is running under partial load conditions, some cylinders will be stopped, and the load rate of the remaining cylinders will be added to maintain the power performance, so that the whole engine works in the high load areas which have higher efficiency. This technology can increase engine efficiency and reduce fuel consumption [17], [18]. Qiao et al [17] introduce the structure, relation components, operational principle and application of intelligent engine start-stop system.…”

Section: Introductionmentioning

confidence: 99%

“…This technology can increase engine efficiency and reduce fuel consumption [17], [18]. Qiao et al [17] introduce the structure, relation components, operational principle and application of intelligent engine start-stop system. Through a large number of comparative tests, the intelligent engine start-stop system can improve fuel consumption and reduce part of emission.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the camless drive variable valve-train technology with canceled throttle have attracted much attention. This technology can realize the full flexibility of valve lift, phase and duration according to different working conditions, and effectively improve the power performance and fuel economy of the engine [14]- [17]. The camless driving mechanisms includes three types: electrohydraulic drive, electromagnetic drive and electric drive.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Trajectory Planning of Electromagnetic Valve-Train Based on Multiple Algorithms for Improving Engine Performance

Guo

Chang

2020

IEEE Access

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Electromagnetic valve-train (EMVT) is a camless variable valve technology that can adjust the valve movement state independently, continuously and in real time. It can adjust the engine charge efficiency according to engine working conditions. In this paper, in order to achieve the optimal inflation efficiency, a new-style moving-coil electromagnetic linear actuator (ELA) was designed and genetic algorithm (GA) was used to plan the valve motion trajectory in common working conditions. Furthermore, an improved BP neural network algorithm was used to optimize the valve operation mode in all working conditions. The new valve operation scheme was applied to the modified intake system of engine, and its simulation and test analysis were carried out. Compared with the prototype, the results showed that the charging efficiency was greatly improved in the range of full rotating speed, especially in the range of middle and low rotating speed up to 95.6%.INDEX TERMS Electromagnetic valve-train, genetic algorithm, neural network, grey relational analysis, optimal trajectory planning.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Trajectory Planning of Electromagnetic Valve-Train Based on Multiple Algorithms for Improving Engine Performance

Guo

Chang

2020

IEEE Access

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“…Electric and hybrid electric vehicles have not yet become sufficiently widespread because of their low range and high cost. Therefore, attempts are made to reduce fuel consumption by using cheaper technologies on conventional vehicles ( 9, 10 ). To improve fuel economy of internal combustion engines, technologies such as reducing engine sizes, advanced compression ignition, and different engine cycles are being developed.…”

mentioning

confidence: 99%

“…In a study by Qiao et al, the contribution of start/stop technology to fuel economy is examined for the New European Driving Cycle (NEDC) ( 9 ). They also improved the restarting time of the engine.…”

mentioning

confidence: 99%

Investigation of the Contribution of Deceleration Fuel Cut-off and Start/Stop Technologies to Fuel Economy by Considering New European Driving Cycle

Tekin

Karamangil

2022

Transportation Research Record: Journal of the Transportation R

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Greenhouse gas (GHG) emissions released into the atmosphere cause climate change and air pollution. One of the main causes of GHG emissions is the transportation sector. The use of fossil fuels in internal combustion engine vehicles leads to the release of these harmful gases. For this reason, since 1992, several standards have been introduced to limit emissions from vehicles. Technologies such as reducing engine sizes, advanced compression-ignition or start/stop, and fuel cut-off have been developed to reduce fuel consumption and emissions. In this study, the contribution of deceleration fuel cut-off and start/stop technologies to fuel economy has been examined considering the New European Driving Cycle. Therefore, the fuel consumption values were calculated by creating a longitudinal vehicle model for a light commercial vehicle with a diesel engine. At the end of the study, by using the two strategies together, fuel economies of 17.5% in the urban driving cycle, 3.7% in the extra-urban cycle, and 10% in total were achieved. CO2 emissions decreased in parallel with fuel consumption, by 10.1% in total.

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Development and Validation of Engine Start/Stop Strategy for P2 Hybrid Electric Vehicle

Palwe¹,

Kanjalkar²

2019

Inventive Computation Technologies

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Application of Engine Intelligent Start-Stop System in Technology of Vehicle Fuel Saving

Cited by 11 publications

References 4 publications

Optimal Trajectory Planning of Electromagnetic Valve-Train Based on Multiple Algorithms for Improving Engine Performance

Optimal Trajectory Planning of Electromagnetic Valve-Train Based on Multiple Algorithms for Improving Engine Performance

Investigation of the Contribution of Deceleration Fuel Cut-off and Start/Stop Technologies to Fuel Economy by Considering New European Driving Cycle

Development and Validation of Engine Start/Stop Strategy for P2 Hybrid Electric Vehicle

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