Shaohua Ma
Shenyang University of Technology
7 Papers
2 Citations
Shaohua Ma is an academic researcher from Shenyang University of Technology. The author has contributed to research in topics: Computer science & State of health. The author has an hindex of 2, co-authored 7 publications.
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Papers
Hybrid Energy Storage Capacity Allocation Method for Active Distribution Network Considering Demand Side Response
TL;DR: The stepped multiprice and multitime demand side response (DSM) model, the energy type and the power type energy storage device are used together, the supercapacitor device is used to stabilize the fluctuation of the distributed power source, and the joint planning with the ES system is realized.
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Buckling Strength Analysis of Transformer Windings Based on Electromagnetic Thermal Structural Coupling Method
TL;DR: In this paper, a method for analyzing the buckling strength of transformer windings based on electromagnetic thermal structure coupling method is presented, which takes into account the factors of plastic deformation and thermal effect.
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Study on the Cluster Selection Method of Echelon Utilization Power Battery Based on Confidence Interval Estimation
TL;DR: In this paper, a cascade batteries selection method based on confidence interval probability prediction is proposed to improve the screening accuracy of decommissioned power batteries and reduce the regulation errors of batteries in the process of echelon utilization.
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Stratified Sorting Method of Battery Module Considering SOH in Echelon Utilization
TL;DR: In this paper, a stratified sorting method is proposed to improve the efficiency of large-scale retired power battery (RPB) sorting in echelon utilization, and a correlation characteristic between the single battery and BM is built, and the main parameters of affecting the attenuation characteristic of the BM are defined.
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Sorting Method for Retired Power Battery Module Considering Consistent Static and Dynamic Characteristics
Ning Yan,Bo Zhang,Shaohua Ma,Xiao Pan +3 more
- 16 Oct 2020
TL;DR: The least square method (LSM) is used to fit the residual life cycle SOH curve, and the similarity of SOH dynamic curve is taken as the sorting target to further sort the BMs.
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