Method for Recovery of Vehicle Braking Energy with Electric Drive Powered by DC Network and Device for Its Implementation

Atangulova, Anastasia; Komshilov, Kirill; Sennikova, Anastasia; Barbashov, N N; Shanygin, Sergey; Lobacheva, Elena

doi:10.1016/j.trpro.2023.02.134

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…These include common brake levels (1A, 1B, 2, 3, 4, 5, 6, 7, 8), OC, REL, and EB. In the same operating environment, different braking operations consume varying amounts of traction electrical energy [19].…”

Section: Braking Strategy Minimize Energy Consumption During Decelera...mentioning

confidence: 99%

Application of Variational Graph Autoencoder in Traction Control of Energy-Saving Driving for High-Speed Train

Ma,

Wang,

Zhang

et al. 2024

Applied Sciences

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In a high-speed rail system, the driver repeatedly adjusts the train’s speed and traction while driving, causing a high level of energy consumption. This also leads to the instability of the train’s operation, affecting passengers’ experiences and the operational efficiency of the system. To solve this problem, we propose a variational graph auto-encoder (VGAE) model using a neural network to learn the posterior distribution. This model can effectively capture the correlation between the components of a high-speed rail system and simulate drivers’ operating state accurately. The specific traction control is divided into two parts. The first part employs an algorithm based on the K-Nearest Neighbors (KNN) algorithm and undersampling to address the negative impact of imbalanced quantities in the training dataset. The second part utilizes a variational graph autoencoder to derive the initial traction control of drivers, thereby predicting the energy performance of the drivers’ operation. An 83,786 m long high-speed train driving section is used as an example for verification. By using a confusion matrix for our comparative analysis, it was concluded that the energy consumption is approximately 18.78% less than that of manual traction control. This shows the potential and effect of the variational graph autoencoder model for optimizing energy consumption in high-speed rail systems.

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Section: Braking Strategy Minimize Energy Consumption During Decelera...mentioning

confidence: 99%

Application of Variational Graph Autoencoder in Traction Control of Energy-Saving Driving for High-Speed Train

Ma,

Wang,

Zhang

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The front motor working efficiency under driving conditions at −7 °C, 23 °C, and 35 The main function of the power battery in EVs is to provide output power during acceleration and energy recovery during frequent braking. As is known, power batteries are mainly used for power output during acceleration and energy recovery during frequent braking in EVs [58]. In general, the SOC is one of the most significant evaluation indicators and performance parameters of batteries [59].…”

Section: Key Component Operation Condition and Efficiencymentioning

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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Nature-like power industry

Tkachenko,

Morozov,

Sherbakova

2024

E3S Web of Conf.

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An overview of the works, describing the current state of the technosphere energy and presenting forecasts of its further development, is provided in the article. Based on the works of ecologists, the contradiction between the organization principles and the directions of the evolution vector of the modern technosphere and its energy with the Earth biosphere is shown. Since the transformation scale of matter and energy by the technosphere is currently commensurate with the volumes of planetary flows, the confrontation between artificial and natural habitats can lead to the destruction of the latter and to a global ecological catastrophe. In order to avoid such a negative scenario, scientists propose to “learn from Nature”, that is, to rebuild the technosphere according to the naturalness principles, just as the biosphere is organized. This process can be called greening, as a result of which a nature-like ecotechnosphere will probably be built. It will harmoniously coexist and develop (co-evolving) together with the biosphere. The main task of creating an ecotechnosphere is the formation of a nature-like energy supply system for humanity. At the beginning of the twentieth century, V.I. Vernadsky began to consider this topic in the work “Autotrophy of humanity”. In this article, the authors propose a configuration of the power industry of the future ecotechnosphere, which is based on the already well–known theoretical and experimental developments carried out by scientists in the direction of nature imitation - biomimetics. This term includes equipment and technologies that reproduce natural processes of obtaining and converting energy, such as low-potential renewable energy sources, bioelectricity generation, controlled photosynthesis, glucose power industry, artificial muscle fiber.

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Method for Recovery of Vehicle Braking Energy with Electric Drive Powered by DC Network and Device for Its Implementation

Cited by 3 publications

References 1 publication

Application of Variational Graph Autoencoder in Traction Control of Energy-Saving Driving for High-Speed Train

Application of Variational Graph Autoencoder in Traction Control of Energy-Saving Driving for High-Speed Train

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

Nature-like power industry

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