The Experts below are selected from a list of 210 Experts worldwide ranked by ideXlab platform

Hongwen He - One of the best experts on this subject based on the ideXlab platform.

  • Model-based health condition monitoring method for multi-Cell Series-connected battery pack
    2016 IEEE Transportation Electrification Conference and Expo (ITEC), 2016
    Co-Authors: Rui Xiong, Hongwen He
    Abstract:

    This paper has made efforts to investigate the two key parameters for indicating battery state-of-health. (1) A Series dual adaptive extended Kalman filter algorithm has been proposed. (2) An online model-based capacity and resistance estimation scheme has been proposed, which estimates the uncertainty parameters of capacity and resistance to evaluate the health status of battery pack. The result indicates that the prediction inaccuracies of battery are less than 1%. It is helpful for monitoring the health status and safeguarding the safety application of battery system used in electric vehicles.

  • Cell state -of-charge estimation for the multi -Cell Series - connected battery pack with model bias correction approach
    Energy Procedia, 2015
    Co-Authors: Rui Xiong, Hongwen He
    Abstract:

    Abstract Accurate estimations of Cell state-of-charge (SoC) for multi-Cell Series-connected battery pack are remaining challenge due to the inconsistency characteristic inhabited in battery pack and the uncertain operating conditions in electric vehicles. This paper tries to add three contributions. (1) A data-driven filtering process is proposed to select one represented Cell to typify the voltage behavior of battery pack. (2) An improved battery model considering model and parameter uncertainties is developed. (3) An adaptive SoC estimator has been developed, in which the SoC of each Cell in battery pack can be accurately predicted. The SoC of battery pack can be located with the SoC values of each Cell. It significantly improves the safety operation of battery. The result indicates that the estimation errors of voltage and SoC for all the LiPB Cells are less than 3% even if given big erroneous initial state of estimator.

Rui Xiong - One of the best experts on this subject based on the ideXlab platform.

  • Model-based health condition monitoring method for multi-Cell Series-connected battery pack
    2016 IEEE Transportation Electrification Conference and Expo (ITEC), 2016
    Co-Authors: Rui Xiong, Hongwen He
    Abstract:

    This paper has made efforts to investigate the two key parameters for indicating battery state-of-health. (1) A Series dual adaptive extended Kalman filter algorithm has been proposed. (2) An online model-based capacity and resistance estimation scheme has been proposed, which estimates the uncertainty parameters of capacity and resistance to evaluate the health status of battery pack. The result indicates that the prediction inaccuracies of battery are less than 1%. It is helpful for monitoring the health status and safeguarding the safety application of battery system used in electric vehicles.

  • Cell state -of-charge estimation for the multi -Cell Series - connected battery pack with model bias correction approach
    Energy Procedia, 2015
    Co-Authors: Rui Xiong, Hongwen He
    Abstract:

    Abstract Accurate estimations of Cell state-of-charge (SoC) for multi-Cell Series-connected battery pack are remaining challenge due to the inconsistency characteristic inhabited in battery pack and the uncertain operating conditions in electric vehicles. This paper tries to add three contributions. (1) A data-driven filtering process is proposed to select one represented Cell to typify the voltage behavior of battery pack. (2) An improved battery model considering model and parameter uncertainties is developed. (3) An adaptive SoC estimator has been developed, in which the SoC of each Cell in battery pack can be accurately predicted. The SoC of battery pack can be located with the SoC values of each Cell. It significantly improves the safety operation of battery. The result indicates that the estimation errors of voltage and SoC for all the LiPB Cells are less than 3% even if given big erroneous initial state of estimator.

Caizhi Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Design and implementation of a smart lithium-ion battery system with real-Time fault diagnosis capability for electric vehicles
    Energies, 2017
    Co-Authors: Zuchang Gao, Joel Hay King Chiew, Junbo Jia, Cheng Siong Chin, Caizhi Zhang
    Abstract:

    Lithium-ion battery (LIB) power systems have been commonly used for energy storage in electric vehicles. However, it is quite challenging to implement a robust real-time fault diagnosis and protection scheme to ensure battery safety and performance. This paper presents a resilient framework for real-time fault diagnosis and protection in a battery-power system. Based on the proposed system structure, the self-initialization scheme for state-of-charge (SOC) estimation and the fault-diagnosis scheme were tested and implemented in an actual 12-Cell Series battery-pack prototype. The experimental results validated that the proposed system can estimate the SOC, diagnose the fault and provide necessary protection and self-recovery actions under the load profile for an electric vehicle.

H Du T Mouton - One of the best experts on this subject based on the ideXlab platform.

  • a 1 5 mw seven Cell Series stacked converter as an active power filter and regeneration converter for a dc traction substation
    IEEE Transactions on Power Electronics, 2008
    Co-Authors: P H Henning, H D Fuchs, A Le D Roux, H Du T Mouton
    Abstract:

    A prototype 1.5 MW Series-stacked converter system was built and installed at a dc traction substation. The converter inverts energy generated by slowing an electric train using regenerative braking. The regenerated energy is fed into the local ac network at the dc substation. A secondary function of the converter is to perform active power filtering (APF) while a train is drawing power from the substation. The system's control is based on the instantaneous reactive power theory. An interleaved switching scheme was used to switch the seven-Cell Series-stacked converter, thus exploiting the natural balancing properties of the Series-stacked converter. Results obtained from tests done show that both the APF and regeneration functions of the system were successfully implemented.

Thierry Aubert - One of the best experts on this subject based on the ideXlab platform.

  • activated carbon carbon nanotube composite porous film for supercapacitor applications
    Materials Research Bulletin, 2006
    Co-Authors: Pierre Louis Taberna, Geoffroy Chevallier, Dominique Plee, Patrice Simon, Thierry Aubert
    Abstract:

    Activated carbon/carbon nanotube composite electrodes have been assembled and tested in organic electrolyte (NEt4BF4 1.5 M in acetonitrile). The performances of such Cells have been compared with pure activated carbon-based electrodes. CNTs content of 15 wt.% seems to be a good compromise between power and energy, with a Cell Series resistance of 0.6 Ω cm2 and an active material capacitance as high as 88 F g−1.

  • Activated carbon–carbon nanotube composite porous film for supercapacitor applications
    Materials Research Bulletin, 2006
    Co-Authors: Pierre Louis Taberna, Geoffroy Chevallier, Dominique Plee, Patrice Simon, Thierry Aubert
    Abstract:

    Activated carbon/carbon nanotube composite electrodes have been assembled and tested in organic electrolyte (NEt4BF4 1.5 M in acetonitrile). The performances of such Cells have been compared with pure activated carbon-based electrodes. CNTs content of 15 wt.% seems to be a good compromise between power and energy, with a Cell Series resistance of 0.6 Ω cm2 and an active material capacitance as high as 88 F g−1.