Search Results - "Hou, Junjian"

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  1. 1

    A Review of Lithium-Ion Battery State of Health Estimation and Prediction Methods by Yao, Lei, Xu, Shiming, Tang, Aihua, Zhou, Fang, Hou, Junjian, Xiao, Yanqiu, Fu, Zhijun

    Published in World electric vehicle journal (01-09-2021)
    “…Lithium-ion power batteries have been widely used in transportation due to their advantages of long life, high specific power, and energy. However, the safety…”
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    Journal Article
  2. 2

    State of Health Estimation Based on the Long Short-Term Memory Network Using Incremental Capacity and Transfer Learning by Yao, Lei, Wen, Jishu, Xu, Shiming, Zheng, Jie, Hou, Junjian, Fang, Zhanpeng, Xiao, Yanqiu

    Published in Sensors (Basel, Switzerland) (01-10-2022)
    “…Battery state of health (SOH) estimating is essential for the safety and preservation of electric vehicles. The degradation mechanism of batteries under…”
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    Journal Article
  3. 3

    Concurrent Topology Optimization for Maximizing the Modal Loss Factor of Plates with Constrained Layer Damping Treatment by Fang, Zhanpeng, Yao, Lei, Hou, Junjian, Xiao, Yanqiu

    Published in Materials (13-05-2022)
    “…Damping performance of the plates with constrained layer damping (CLD) treatment mainly depends on the layout of CLD material and the material physical…”
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    Journal Article
  4. 4

    A Review of the Data-Driven Prediction Method of Vehicle Fuel Consumption by Zhao, Dengfeng, Li, Haiyang, Hou, Junjian, Gong, Pengliang, Zhong, Yudong, He, Wenbin, Fu, Zhijun

    Published in Energies (Basel) (01-07-2023)
    “…Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving their fuel economy. This paper provides a comprehensive review…”
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    Journal Article
  5. 5

    A Review for the Driving Behavior Recognition Methods Based on Vehicle Multisensor Information by Zhao, Dengfeng, Zhong, Yudong, Fu, Zhijun, Hou, Junjian, Zhao, Mingyuan

    Published in Journal of advanced transportation (07-10-2022)
    “…The frequent traffic accidents lead to a large number of casualties and large related financial losses every year; this serious state is owed to several…”
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  6. 6

    Fault Identification of Lithium-Ion Battery Pack for Electric Vehicle Based on GA Optimized ELM Neural Network by Yao, Lei, Xu, Shiming, Xiao, Yanqiu, Hou, Junjian, Gong, Xiaoyun, Fu, Zhijun, Tang, Aihua

    Published in IEEE access (2022)
    “…The battery system is one of the core technologies of the new energy electric vehicle, so the frequent occurrence of safety accidents seriously limits the…”
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    Journal Article
  7. 7

    A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix by Lu, Wenbo, Jiang, Weikang, Wu, Haijun, Hou, Junjian

    Published in Journal of sound and vibration (16-07-2012)
    “…Vibration signal analysis is the most widely used technique in condition monitoring or fault diagnosis, whereas in some cases vibration-based diagnosis is…”
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    Journal Article
  8. 8

    A Review of Critical State Joint Estimation Methods of Lithium-Ion Batteries in Electric Vehicles by Hou, Junjian, Li, Tong, Zhou, Fang, Zhao, Dengfeng, Zhong, Yudong, Yao, Lei, Zeng, Li

    Published in World electric vehicle journal (01-08-2022)
    “…Battery state of charge (SOC), state of health (SOH), and state of power (SOP) are decisive factors that influence the energy-management system (EMS)…”
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    Journal Article
  9. 9

    Microstructural Topology Optimization of Constrained Layer Damping on Plates for Maximum Modal Loss Factor of Macrostructures by Hou, Junjian, Tian, Shuxia, Yao, Lei, Fang, Zhanpeng

    Published in Shock and vibration (2020)
    “…This paper presents microstructural topology optimization of viscoelastic materials for the plates with constrained layer damping (CLD) treatments. The design…”
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    Journal Article
  10. 10

    Effect of adding ceramic powder on the microstructure, wear and corrosion resistance of NiCrBSi/WC coating by Wang, Xinsheng, Xing, Zhiguo, Hou, Junjian, He, Wenbin, Liu, Kun

    “…The present study envisaged the preparation of four kinds of coatings on 45# steel substrate by using the Supersonic plasma spraying (SPS) technology. The…”
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    Journal Article
  11. 11

    Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses by Zhao, Dengfeng, Li, Haiyang, Zhou, Fang, Zhong, Yudong, Zhang, Guosheng, Liu, Zhaohui, Hou, Junjian

    Published in World electric vehicle journal (01-06-2023)
    “…Battery states are very important for the safe and reliable use of new energy vehicles. The estimation of power battery states has become a research hotspot in…”
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    Journal Article
  12. 12

    Dynamic Characteristics of the Helical Planetary Transmission System considering the Installation Error of Shaft by Zhai, Hongfei, Hou, Junjian, Fang, Zhanpeng, Xiao, Yanqiu, Yao, Lei, Wang, Liangwen

    Published in Shock and vibration (06-07-2022)
    “…The helical planetary transmission system (HPTS) is widely used in wind power, hydropower, and shield machine, which operating conditions are extremely…”
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    Journal Article
  13. 13

    Composite ceramic-Ni60 coating fabricated via supersonic plasma spraying by Wang, Xinsheng, Xing, Zhiguo, Liu, Yanpei, Hou, Junjian, Liu, Kun

    Published in Chinese journal of physics (Taipei) (01-10-2019)
    “…•Co-coated WC and NiCr-coated Cr3C2 ceramic particles were added to Ni60 powder.•The surface of the coating shows few cracks, unmelted particles, pores and…”
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    Journal Article
  14. 14

    Driver Identification Methods in Electric Vehicles, a Review by Zhao, Dengfeng, Hou, Junjian, Zhong, Yudong, He, Wenbin, Fu, Zhijun, Zhou, Fang

    Published in World electric vehicle journal (01-11-2022)
    “…Driver identification is very important to realizing customized service for drivers and road traffic safety for electric vehicles and has become a research…”
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  15. 15

    Effect of Ni/MoS2 Addition on Microstructure and Properties of Supersonic Plasma-Sprayed Ni-Based Composite Coatings by WANG, Xinsheng, HE, Wenbin, HOU, Junjian, LIU, Kun, YAN, Xihao

    Published in Medžiagotyra (23-08-2022)
    “…Abnormal tool wear is a significant problem encountered in machining. MoS2 has the function of friction reduction; thus, to mitigate friction, two Ni-based…”
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    Journal Article
  16. 16

    Topology Optimization of Constrained Layer Damping Structures Subjected to Stationary Random Excitation by Fang, Zhanpeng, Zhai, Hongfei, Hou, Junjian

    Published in Shock and vibration (01-01-2018)
    “…This paper deals with an optimal layout design of the constrained layer damping (CLD) treatment of vibrating structures subjected to stationary random…”
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    Journal Article
  17. 17

    Bearing Fault Diagnosis Based on Spatial Features of 2.5 Dimensional Sound Field by Ming, Wuyi, He, Wenbin, Hou, Junjian, Ma, Jun, Fang, Zhanpeng

    Published in Shock and vibration (01-01-2019)
    “…The traditional acoustic-based diagnosis (ABD) technique based on single-channel testing has a significant engineering value. Since its diagnosis robustness is…”
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    Journal Article
  18. 18

    Preparation and Properties of Core-Shell Structure/Ni60 Coating by Xinsheng, Wang, Liu, Yanpei, Hou, Junjian, He, Wenbin, Liu, Kun, Zhaobin, She

    Published in Shock and vibration (2021)
    “…As the most important element in improving the service life of a mechanical system, surface coating materials are of key importance in the development of…”
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    Journal Article
  19. 19

    Surface modification of porous titanium with rice husk as space holder by Wang, Xinsheng, Hou, Junjian, Liu, Yanpei

    Published in Results in physics (01-06-2018)
    “…•Porous titanium samples after alkali treatment present a smooth surface with flocculent material.•Porous titanium has excellent biocompatibility after its…”
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  20. 20

    An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine by Yao, Lei, Fang, Zhanpeng, Xiao, Yanqiu, Hou, Junjian, Fu, Zhijun

    Published in Energy (Oxford) (01-01-2021)
    “…For the safe operation of the electric vehicle, it is critical to quickly detect the safety state and accurately identify the fault degree in battery packs…”
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