World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4539
World Ranking
9410
National Ranking
1563

Overview

Binggang Cao is affiliated with Xi'an Jiaotong University in China, contributing research primarily in the fields of Engineering and Computer Science. Their work encompasses a range of specialized subfields including Signal Processing, Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, and Computational Mechanics.

The scientist's scholarly output includes publications in notable venues such as the International Journal of Electrical Power & Energy Systems, Radio Science, and the International Journal of Radiation Oncology*Biology*Physics. Their research spans multiple topics, with a focus on Advanced Battery Technologies Research, Advancements in Battery Materials, Fault Detection and Control Systems, Direction-of-Arrival Estimation Techniques, Speech and Audio Processing, Advanced Adaptive Filtering Techniques, and Social Media in Health Education.

Significant recent papers authored or coauthored by Binggang Cao include:

  • State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity (2020) - International Journal of Electrical Power & Energy Systems
  • Fast Joint DOA and Inter-Subarray Errors Estimation in Partly Calibrated Arrays (2024) - Radio Science
  • User Experience with Artificial Intelligence-Generated Research Education Podcast Series (2025) - International Journal of Radiation Oncology*Biology*Physics

Frequent collaborators in their research activities include Qingxia Yang, Jun Xu, Xiuqing Li, Dan Xu, and Qi Song. This network of coauthors reflects a collaborative approach spanning diverse technical domains linked to Cao's research interests.

Best Publications

  • The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer

    Jun Xu;Chunting Chris Mi;Binggang Cao;Junjun Deng

  • Three-dimensional thermal finite element modeling of lithium-ion battery in thermal abuse application

    Guifang Guo;Bo Long;Bo Cheng;Shiqiong Zhou

  • A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model

    Jun Xu;Jun Xu;Chunting Chris Mi;Binggang Cao;Junyi Cao

  • Design of Fractional Order Controllers Based on Particle Swarm Optimization

    Jun-yi Cao;Bing-gang Cao

  • Optimization of fractional order PID controllers based on genetic algorithms

    Jun-Yi Cao;Jin Liang;Bing-Gang Cao

  • A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter ☆

    Min Ye;Hui Guo;Binggang Cao

  • Component sizing optimization of plug-in hybrid electric vehicles

    Xiaolan Wu;Binggang Cao;Xueyan Li;Jun Xu

  • Optimal sizing of standalone hybrid wind/PV power systems using genetic algorithms

    Daming Xu;Longyun Kang;Liuchen Chang;Binggang Cao

  • Design of Fractional Order Controller Based on Particle Swarm Optimization

    Jun-Yi Cao;Bing-Gang Cao

  • Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online

    Bo Ning;Binggang Cao;Bin Wang;Zhongyue Zou

  • A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles

    Bin Wang;Jun Xu;Binggang Cao;Xuan Zhou

  • Combined state of charge estimator for electric vehicle battery pack

    Unknown

  • Adaptive Sliding-Mode With Hysteresis Control Strategy for Simple Multimode Hybrid Energy Storage System in Electric Vehicles

    Bin Wang;Jun Xu;Rong-Jong Wai;Binggang Cao

  • State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity

    Qingxia Yang;Jun Xu;Xiuqing Li;Dan Xu

  • Regenerative braking strategy for electric vehicles

    Unknown

  • Evaluation strategy of regenerative braking energy for supercapacitor vehicle

    Zhongyue Zou;Junyi Cao;Binggang Cao;Wen Chen

  • High-temperature digital image correlation method for full-field deformation measurement captured with filters at 2600°C using spraying to form speckle patterns

    Xiang Guo;Jin Liang;Zhengzong Tang;Binggang Cao

  • Evaluation of Model Based State of Charge Estimation Methods for Lithium-Ion Batteries

    Zhongyue Zou;Jun Xu;Chris Mi;Binggang Cao

  • Artificial neural network maximum power point tracker for solar electric vehicle

    Theodore Amissah Ocran;Junyi Cao;Binggang Cao;Xinghua Sun

  • An online state of charge estimation method with reduced prior battery testing information

    Jun Xu;Binggang Cao;Zheng Chen;Zhongyue Zou

  • SOC Based Battery Cell Balancing with a Novel Topology and Reduced Component Count

    Jun Xu;Siqi Li;Chris Mi;Zheng Chen

  • Particle swarm optimization for plug-in hybrid electric vehicle control strategy parameter

    Xiaolan Wu;Binggang Cao;Jianping Wen;Yansheng Bian

  • A simplified fractional order impedance model and parameter identification method for lithium-ion batteries.

    Qingxia Yang;Jun Xu;Binggang Cao;Xiuqing Li

Frequent Co-Authors

Junyi Cao
Junyi Cao Xi'an Jiaotong University
Zheng Chen
Zheng Chen University of Houston
Chris Mi
Chris Mi San Diego State University
Rong-Jong Wai
Rong-Jong Wai National Taiwan University of Science and Technology

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