World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
36
Citations
5232
World Ranking
2529
National Ranking
305

Best Publications

  • Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

    Zhongwei Deng;Xiaosong Hu;Xianke Lin;Yunhong Che

  • Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data

    Unknown

  • Battery health estimation with degradation pattern recognition and transfer learning

    Unknown

  • An end-to-end neural network framework for state-of-health estimation and remaining useful life prediction of electric vehicle lithium batteries

    Unknown

  • Predictive Battery Health Management With Transfer Learning and Online Model Correction

    Yunhong Che;Zhongwei Deng;Xianke Lin;Lin Hu

  • Prognostics of battery capacity based on charging data and data-driven methods for on-road vehicles

    Unknown

  • General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries

    Zhongwei Deng;Xiaosong Hu;Xianke Lin;Le Xu

  • A Review of Second-Life Lithium-Ion Batteries for Stationary Energy Storage Applications

    Unknown

  • Data-driven fault diagnosis and thermal runaway warning for battery packs using real-world vehicle data

    Lulu Jiang;Zhongwei Deng;Xiaolin Tang;Lin Hu

  • Health Prognosis for Electric Vehicle Battery Packs: A Data-Driven Approach

    Xiaosong Hu;Yunhong Che;Xianke Lin;Zhongwei Deng

  • Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery

    Zhongwei Deng;Lin Yang;Yishan Cai;Hao Deng

  • Naturalistic Data-Driven Predictive Energy Management for Plug-In Hybrid Electric Vehicles

    Xiaolin Tang;Tong Jia;Xiaosong Hu;Yanjun Huang

  • State of health estimation based on modified Gaussian process regression for lithium-ion batteries

    Unknown

  • State of health prognostics for series battery packs: A universal deep learning method

    Yunhong Che;Zhongwei Deng;Penghua Li;Xiaolin Tang

  • A deep learning method for lithium-ion battery remaining useful life prediction based on sparse segment data via cloud computing system

    Qisong Zhang;Lin Yang;Wenchao Guo;Jiaxi Qiang

  • Polynomial approximation pseudo-two-dimensional battery model for online application in embedded battery management system

    Zhongwei Deng;Lin Yang;Hao Deng;Yishan Cai

  • Rapid health estimation of in-service battery packs based on limited labels and domain adaptation

    Unknown

  • A Novel Hybrid Physics-Based and Data-Driven Approach for Degradation Trajectory Prediction in Li-Ion Batteries

    Unknown

  • A Reduced-Order Electrochemical Model for All-Solid-State Batteries

    Zhongwei Deng;Xiaosong Hu;Xianke Lin;Le Xu

  • Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles

    Lin Yang;Yishan Cai;Yishan Cai;Yixin Yang;Zhongwei Deng

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

While Mechanical and Aerospace Engineering offer exciting career opportunities, many students also explore related fields that complement or provide alternative pathways. For example, pursuing the fastest online masters in applied behavior analysis can be an option for those interested in human factors engineering or ergonomics, where understanding behavior plays a crucial role.

Another popular direction involves Speech-Language Pathology (SLP), which addresses communication disorders. Prospective students should familiarize themselves with slp grad school acceptance rate to gauge their admission chances and plan accordingly. Selecting programs can be challenging, but identifying the easiest slp masters to get into might help streamline the application process for some candidates.

Cost is another vital factor when considering online degrees. Reviewing detailed information about online speech pathology degree tuition and fees can help students budget effectively and make informed financial decisions.

Exploring these related degrees and understanding the unique requirements of each can broaden career options and better align educational goals with industry demands.