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Energy model based sensorless estimation method for operational temperature of braking resistor onboard metro vehicles
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Leiting Zhao, Kan Liu, Donghui Liu, Zheming Jin
Railway Sciences | 2023, 2(4) : 470 - 485
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Railway Sciences | 2023, 2(4): 470-485
Research paper
Energy model based sensorless estimation method for operational temperature of braking resistor onboard metro vehicles
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Leiting Zhao, Kan Liu, Donghui Liu, Zheming Jin
Affiliations
  • China Academy of Railway Sciences Corporation Limited, Locomotive and Car Research Institute, Beijing, China
  • AC Transmission Development Department, Beijing Zongheng Electro-Mechanical Technologoly Co., Ltd, Beijing, China
  • School of Electrical Engineering, Beijing Jiaotong University, Beijing, China
Published: 2023-11-10 doi: 10.1108/RS-10-2023-0031
Outline
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Purpose

This study aims to improve the availability of regenerative braking for urban metro vehicles by introducing a sensorless operational temperature estimation method for the braking resistor (BR) onboard the vehicle, which overcomes the vulnerability of having conventional temperature sensor.

Design/methodology/approach

In this study, the energy model based sensorless estimation method is developed. By analyzing the structure and the convection dissipation process of the BR onboard the vehicle, the energy-based operational temperature model of the BR and its cooling domain is established. By adopting Newton's law of cooling and the law of conservation of energy, the energy and temperature dynamic of the BR can be stated. To minimize the use of all kinds of sensors (including both thermal and electrical), a novel regenerative braking power calculation method is proposed, which involves only the voltage of DC traction network and the duty cycle of the chopping circuit; both of them are available for the traction control unit (TCU) of the vehicle. By utilizing a real-time iterative calculation and updating the parameter of the energy model, the operational temperature of the BR can be obtained and monitored in a sensorless manner.

Findings

In this study, a sensorless estimation/monitoring method of the operational temperature of BR is proposed. The results show that it is possible to utilize the existing electrical sensors that is mandatory for the traction unit's operation to estimate the operational temperature of BR, instead of adding dedicated thermal sensors. The results also validate the effectiveness of the proposal is acceptable for the engineering practical.

Originality/value

The proposal of this study provides novel concepts for the sensorless operational temperature monitoring of BR onboard rolling stocks. The proposed method only involves quasi-global electrical variable and the internal control signal within the TCU.

Operational temperature monitoring  /  Braking resistor  /  Regenerative braking  /  Energy model  /  Convection dissipation of heat
Leiting Zhao, Kan Liu, Donghui Liu, Zheming Jin. Energy model based sensorless estimation method for operational temperature of braking resistor onboard metro vehicles[J]. Railway Sciences, 2023 , 2 (4) : 470 -485 . DOI: 10.1108/RS-10-2023-0031
  • the Fund of China Academy of Railway Sciences Corporation Limited(2022YJ230)
  • the Scientific Research Projects of China Association of Metros(CAMET-KY-2022039)
Year 2023 volume 2 Issue 4
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Article Info
doi: 10.1108/RS-10-2023-0031
  • Receive Date:2023-10-08
  • Online Date:2026-06-11
  • Published:2023-11-10
Article Data
Affiliations
History
  • Received:2023-10-08
  • Revised:2023-10-12
  • Accepted:2023-10-12
Funding
the Fund of China Academy of Railway Sciences Corporation Limited(2022YJ230)
the Scientific Research Projects of China Association of Metros(CAMET-KY-2022039)
Affiliations
    China Academy of Railway Sciences Corporation Limited, Locomotive and Car Research Institute, Beijing, China
    AC Transmission Development Department, Beijing Zongheng Electro-Mechanical Technologoly Co., Ltd, Beijing, China
    School of Electrical Engineering, Beijing Jiaotong University, Beijing, China

Corresponding:

Kan Liu can be contacted at:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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