Jianwei Ma

Henan University of Science and Technology

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Shaofei Zang

Henan University of Science and Technology

Jiwei Gao

Henan University of Science and Technology

Shifeng Huang

China Institute of Water Resources and Hydropower Research

Su Yan

Chinese Academy of Sciences

Xinghai Li

Shenyang Agricultural University

Qian He

First Affiliated Hospital of Xi'an Jiaotong University

Quan Qiu

South China Agricultural University

Jiyue Li

South China Agricultural University

Jiangtao Fu

Henan University of Science and Technology

Jinfeng Lv

Henan University of Science and Technology

Cooperative Institutions

Henan University of Science and Technology

Chinese Academy of Sciences

Research Institute of Forestry

Chinese Academy of Forestry

University of Chinese Academy of Sciences

Shanghai Jiao Tong University

China Institute of Water Resources and Hydropower Research

Xi'an Jiaotong University

Central South University

Tsinghua University

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Coordinated control strategy to reduce torque fluctuation for parallel hybrid electric vehicles

Jiangtao Fu Shuzhong Song Zhumu Fu Jianwei Ma

Hybrid Electric Vehicles (HEVs) require the power to drive the vehicle via a combination of internal combustion engine (ICE) and electric motors. To improve the drivability, the smooth torque change during the driving mode switching is essential. This task can be achieved by using the coordinated control strategy. This paper presents a coordinated control strategy which can effectively suppress the torque surge during the driving mode switching processes. The coordinated control strategy is to reduce the torque fluctuation during the driving mode switching processes based on considering the different dynamic response characteristic of the engine and the electric motor (EM). The objective is to minimize torque fluctuation which maintaining or improving the driving performance characteristics of the vehicle. Results from the computer simulation demonstrate the effectiveness of this approach in reducing the torque surge without sacrificing vehicle performance.

Stall torque

10.1109/cac.2017.8243513

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Citations (1)

Research on GSEC's Restructuring Financial Risk

International Journal of Frontiers in Sociology (2021)

Jianwei Ma Shan Lu Shuqin Wang

State-owned enterprise restructuring is an important means to enhance its comprehensive competitiveness, and reducing financial risks is the key to improving the efficiency and quality of restructuring. This article takes GSEC as the research object and uses AHP-Fuzzy to analyze the company’s financial risks from four aspects: pricing risk, financing risk, debt repayment risk, and integration risk. Based on the results of the risk evaluation, targeted recommendations are put forward to control the financial risks in the restructuring of state-owned enterprises.

Restructuring

Debt restructuring

Risk Control

10.25236/ijfs.2021.031112

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Citations (1)

Adaptive Fast Fixed-Time Three-Dimensional Guidance Law With Acceleration Saturation Constraints

IEEE Access (2022)

Xiaojing Li Jianwei Ma Jiwei Gao

This paper investigates continuous anti-saturation three-dimensional guidance law against maneuvering target at the desired line-of-sight (LOS) angles. Firstly, in the light of fixed-time stability, fast nonsingular terminal sliding mode is designed without the limitation of odd-ratio fractional order. Then, with the limits of lateral acceleration saturation, continuous guidance law is proposed to guarantee that desired LOS angles are reached and maintained after the specified time, while adaptive law is implemented to estimate the information on maneuver accelerations of the attacking missile. Finally, numerical simulations are presented to validate the effectiveness and rationality of the designed scheme.

Line-of-sight

Saturation (graph theory)

10.1109/access.2022.3156063

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Citations (2)

Analytical Modeling of Eddy Current Losses and Thermal Analysis of Non-Uniform-Air-Gap Combined-Pole Permanent Magnet Motors for Electric Vehicles

Machines (2024)

Shilun Ma Jianwei Ma Keqi Chen Changwei Li

In order to solve the problem of large eddy current losses and high temperature rises caused by a large number of permanent magnets, a new type of combined-magnetic-pole permanent magnet motor is proposed in this paper. The sinusoidally distributed subdomain model of a non-uniform-air-gap rotor was established using the Laplace equation, and the analytical expression of eddy current losses in the rotor in a uniform air gap and non-uniform air gap was derived. The effect of the rotor’s eccentricity on eddy current losses was obtained. According to the characteristics of the distributed winding of the non-uniform-air-gap combined-pole permanent magnet motor, an equivalent treatment was performed to obtain the equivalent thermal conductivity value; to establish an equivalent thermal network model of the motor; determine the temperature of each component of the motor; and verify the correctness of the thermal network model through magnetothermal bidirectional coupling. Finally, an experimental platform was set up to carry out temperature rise experiments on the two prototypes. The experimental results show that a non-uniform-air-gap rotor structure can effectively reduce a rotor’s eddy current losses and motor temperature rise, as well as verify the accuracy of the analytical model’s calculation results.

Air gap (plumbing)

Permanent magnet motor

10.3390/machines12060377

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Citations (0)

Robust function projective synchronization of a class of uncertain chaotic systems☆

Chaos Solitons & Fractals (2009)

Liqun Shen Wanyu Liu Jianwei Ma

Chaotic systems

10.1016/j.chaos.2009.03.073

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Citations (13)

Study on pulsed gas metal arc welding and its digital control strategy

Jinhong Zhu Hongxin Shi Shuzhong Song Jianwei Ma

Pulsed gas metal arc welding is an important welding process in advanced manufacturing technology, which makes conventional welding process a finely controllable process. However, this process demands a synergic setting up of pulse parameters in order to retain optimal transfer of droplets which depends on experimental data under various conditions, while the stability of arc length is necessary but difficult to model and has nonlinear and time varying characteristics. In this paper, the process was analyzed in detail, and current control methods were presented and compared. Then, a digital control oriented approach has been suggested, including algorithms of parameters adjustment, PI and fuzzy logic control. An experimental system based on welding inverter and microcontroller was implemented, and the scheme was described here as well.

Welding power supply

Digital Control

10.1109/mace.2011.5988440

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Citations (1)

Estimation of soil moisture with SAR data in large area based on support vector regression

Dexin Meng Jianwei Ma Jingfeng Xin Yayong Sun Shifeng Huang

Soil moisture is an important parameter in the surface process, and it is indispensable in the field of crop growth and drought monitoring. SAR can penetrate clouds and fog to achieve high-resolution observations, so it has great advantages in remote sensing estimation of soil moisture. In this paper, Sentinel-1A radar data and MODIS were used to explore the applicability of soil moisture retrieval in a large area based on the support vector regression (SVR) method. By analyzing the characteristics closely related to soil moisture, the input of the algorithm was determined including VV, VH polarization backscattering coefficient, radar local incident angle (LIA), digital elevation model (DEM), slope (SLP), and normalized vegetation index (NDVI). Then the accuracy of the SVR model constructed with different feature combinations was discussed, and the best performing model was selected to estimate soil moisture in northern and central Anhui province. The results showed that the model with the combination of VV, LIA, NDVI, DEM, and SLP input had the highest accuracy with R² of 0.9413 and the root mean square error (RMSE) of 0.0085 cm³·cm^-3 , in which terrain factor had a greater impact. Finally, the best model was used to achieve a wide range of soil moisture retrieval, and test samples were used to verify the estimation accuracy with R² of 0.6444 and RMSE of 0.036 cm³·cm^-3 . Moreover, the temporal and spatial distribution of the retrieval result is reasonable, which can characterize the distribution difference of a large study area.

10.1117/12.2600934

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Citations (1)

Optimization of feed-forward neural networks based on artificial fish-swarm algorithm

Jisuanji gongcheng (2004)

Jianwei Ma

Artificial Fish-swarm Algorithm(AFSA) is a novel optimizing method proposed lately.An Artificial Fish-swarm Algorithm(AFSA) for the optimization of feed-forward neural networks and a model based on this method were presented for the first time here.Compared with the Back-propagation Algorithm added momentum,the Evolve Algorithm and the Simulated Anncaling Algorithm,optimization result of feed-forward neural networks by AFSA demonstrates that AFSA has a strong robustness and good global astringency.AFSA is also proved to be insensitive to initial values.

Robustness

Optimization algorithm

Backpropagation

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Citations (14)

Effluent Quality Prediction of Phoredox Process Based on Back Propagation Neural Network

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (2013)

Qing Zhang Junliang Liu Jianwei Ma Gang Chen

Backpropagation

10.4156/aiss.vol5.issue9.65

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