Hierarchical evolutionary construction of neural network models for an Atkinson cycle engine with double injection strategy based on the PSO-Nadam algorithm

Sun, Xilei; Xie, Mingke; Zhou, Feng; Wu, Xiaorui; Fu, Jianqin; Liu, Jingping

doi:10.1016/j.fuel.2022.126531

Cited by 30 publications

(9 citation statements)

References 32 publications

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“…It is also the leading benchmark when optimizing various vehicle performance indicators 4 , 5 . With the growth of vehicle ownership, the gap between the actual fuel consumption and the results of regulatory certification using standard driving cycles is gradually widening 6 , 7 . Simultaneously, regional disparities in topography, climatic conditions, socioeconomic advancement, road topologies, and traffic patterns engender considerable variation, rendering the adoption of a uniform driving cycle impractical across diverse regions 8 , 9 .…”

Section: Introductionmentioning

confidence: 99%

Construction and optimization of representative actual driving cycles based on the improved autoencoder

Zhao,

Sun,

Wang

et al. 2024

Sci Rep

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In this study, much work has been performed to accurately and efficiently develop representative actual driving cycles. Electric vehicle road tests were conducted and the associated data were gathered based on the manual driving method, and the Changsha Driving Cycle Construction (CS-DCC) method was proposed to achieve systematical construction of a representative driving cycle from the original data. The results show that the refined data exhibit greater stability and a smoother pattern in contrast to the original data after noise reduction by five-scale wavelet analysis. The Gaussian Kernel Principal Component Analysis (KPCA) algorithm is chosen to reduce the dimensionality of the characteristic matrix, and the number of principal components is selected as 5 with a cumulative contribution rate of 85.99%. The average error of the characteristic parameters between the optimized drive cycle and the total data is further reduced from 13.6 to 6.1%, with a reduction ratio of 55.1%. Meanwhile, the constructed driving cycle has prominent local characteristics compared with four standard driving cycles, demonstrating the necessity of constructing an actual driving cycle that reflects localized driving patterns. The findings present a powerful application of artificial intelligence in advancing engineering technologies.

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Section: Introductionmentioning

confidence: 99%

Construction and optimization of representative actual driving cycles based on the improved autoencoder

Zhao,

Sun,

Wang

et al. 2024

Sci Rep

Self Cite

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“…In recent years, resource depletion, the energy crisis, and ecological environment deterioration have become the main global problems [1,2]. The extensive use of fossil fuels and aggravated carbon dioxide emissions have caused the serious problem of global warming [3,4]. Against this background, many countries have committed to achieving neutral carbon emissions by 2060 [5].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures

Zhao

et al. 2023

Energies

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In the present research, the energy flow of electric vehicle batteries under different environmental temperatures was experimentally examined in a climate chamber. The energy flow characteristics, energy loss conditions, and the critical components’ operating conditions and working efficiency under different environmental temperatures were comparatively analyzed. The test results show that the environmental temperature has a profound impact on an electric vehicle’s performance and the critical components’ working conditions. The driving mileage of the tested vehicle at −7 °C, 23 °C, and 35 °C was found to be 162.89 km, 256.09 km, and 198.69 km, respectively. The environmental temperature does not have much effect on the loss of the motor and motor control unit under driving conditions, and the proportion of those at different temperatures is in all cases about 18%. The battery-recycled energy at 23 °C under braking conditions is much higher than that at −7 °C and 35 °C, leading to a longer driving range. The power battery pack thermal transfer loss at −7 °C is much greater than that at 23 °C and 35 °C due to the low charging and discharging efficiency and the high energy consumption required to warm up the battery at a low environmental temperature. The compressor energy consumption accounts for a large proportion in both braking and driving conditions at 35 °C, and the proportions are 15.25% and 12.41%, respectively. The battery state-of-charge drops the fastest at −7 °C, followed by 35 °C, due to the differences in the power demands of air conditioning, warm air positive temperature coefficient (PTC), and battery PTC in high- and low-temperature environments. The working condition of the front motor under driving conditions at 35 °C is the most severe and leads to the lowest working efficiency.

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“…[1][2][3] In addition, the exhaust gas emitted by the engine causes many problems such as global warming and environmental pollution, which threaten the long-term development of mankind. 4,5 The energy crisis and environmental pollution resulting from the consumption of fossil fuels require immediate attention and action. 6,7 Thus, it is important to explore clean alternative fuels further, which can ease the energy crisis and reduce environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

Effects of piston shapes and swirl ratios on combustion and emissions of a micro diesel pilot-ignition natural gas engine

Zhou

et al. 2023

Sustainable Energy Fuels

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Hierarchical evolutionary construction of neural network models for an Atkinson cycle engine with double injection strategy based on the PSO-Nadam algorithm

Cited by 30 publications

References 32 publications

Construction and optimization of representative actual driving cycles based on the improved autoencoder

Construction and optimization of representative actual driving cycles based on the improved autoencoder

A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures

Effects of piston shapes and swirl ratios on combustion and emissions of a micro diesel pilot-ignition natural gas engine

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