Multi-Timescale Modeling for Optimizing Battery Management Systems in Electric Vehicles

Research output

Research output per year 2020 2021 2022 2023 2024

• 34 RGC 21 - Publication in refereed journal

Research output per year

Research output per year

Search results

• 2024

  A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions

  Zheng, Z. & Zhang, Z., Jul 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 7, p. 9565-9578

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Stochastics 100%
  • Encoder-Decoder 100%
  • Neural Network 100%
  • Random Variable 33%
  • Latent Random Variable 25%

  31   Link opens in a new tab Citations (Scopus)

• PFFN: Periodic Feature-Folding Deep Neural Network for Traffic Condition Forecasting

  Wang, T., Zhang, Z. & Tsui, K.-L., 15 Jan 2024, In: IEEE Internet of Things Journal. 11, 2, p. 3108-3120

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Traffic Condition 100%
  • Deep Neural Network 100%
  • Urban Transportation 100%
  • Urban Traffic 100%
  • Experimental Result 25%

  11   Link opens in a new tab Citations (Scopus)

• Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling

  Mo, Z., Zhang, Z., Miao, Q. & Tsui, K.-L., Mar 2024, In: IEEE Transactions on Cybernetics. 54, 3, p. 1547-1559

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Sparsity 100%
  • Machinery Fault Diagnosis 100%
  • Risk Minimization 100%
  • Collected Data 9%
  • Data Simulation 9%

  30   Link opens in a new tab Citations (Scopus)

• 2023

  A Bi-party Engaged Modeling Framework for Renewable Power Predictions with Privacy-preserving

  Liu, H. & Zhang, Z., Nov 2023, In: IEEE Transactions on Power Systems. 38, 6, p. 5794-5805

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Modeling Framework 100%
  • Privacy Preserving 100%
  • Data Privacy 33%
  • Output Sequence 16%
  • Weather Condition 16%

  17   Link opens in a new tab Citations (Scopus)

• A deep attention-assisted and memory-augmented temporal convolutional network based model for rapid lithium-ion battery remaining useful life predictions with limited data

  Fei, Z., Zhang, Z., Yang, F. & Tsui, K.-L., Jun 2023, In: Journal of Energy Storage. 62, 106903.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Temporal Convolutional Network 100%
  • Convolution 100%
  • Life Prediction 100%
  • Lithium-Ion Batteries 100%
  • Remaining Useful Life 100%

  57   Link opens in a new tab Citations (Scopus)

  17 Downloads (CityUHK Scholars)

• A temporal convolutional recurrent autoencoder based framework for compressing time series data

  Zheng, Z. & Zhang, Z., Nov 2023, In: Applied Soft Computing. 147, 110797.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Time Series Data 100%
  • Temporal Convolutional Network 100%
  • Autoencoder 100%
  • Recurrent Neural Network 87%
  • Reconstruction Error 25%

  17   Link opens in a new tab Citations (Scopus)

• CAMV: A Crash Alarm Model for Vehicles Based on Internet of Vehicles Data

  Wang, T., Zhang, Z. & Tsui, K.-L., Nov 2023, In: IEEE Transactions on Intelligent Transportation Systems. 24, 11, p. 12014-12025 12 p.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Operational Data 100%
  • Internet of Vehicle 100%
  • Internet of Vehicles 100%
  • Benchmarking 100%
  • Urban Transportation 100%

  4   Link opens in a new tab Citations (Scopus)

• Deep learning powered rapid lifetime classification of lithium-ion batteries

  Fei, Z., Zhang, Z., Yang, F. & Tsui, K.-L., Oct 2023, In: eTransportation. 18, 100286.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Classification Accuracy 100%
  • Deep Learning Method 100%
  • Lithium-Ion Batteries 100%
  • Compact Representation 50%
  • Research Problem 50%

  32   Link opens in a new tab Citations (Scopus)

• Generative Wind Power Curve Modeling Via Machine Vision: A Deep Convolutional Network Method with Data-Synthesis-Informed-Training

  Yang, L., Wang, L. & Zhang, Z., Mar 2023, In: IEEE Transactions on Power Systems. 38, 2, p. 1111-1124

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Curve Modeling 100%
  • Convolutional Neural Network 100%
  • Data Synthesis 100%
  • Computer Vision 100%
  • U-Net 80%

  21   Link opens in a new tab Citations (Scopus)

• Intelligent Informative Frequency Band Searching Assisted by a Dynamic Bandit Tree Method for Machine Fault Diagnosis

  Mo, Z., Zhang, Z., Miao, Q. & Tsui, K.-L., Apr 2023, In: IEEE/ASME Transactions on Mechatronics. 28, 2, p. 770-780

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Optimization Algorithm 100%
  • Fault Diagnosis 100%
  • fault diagnose method 50%
  • Adaptive Filter 50%
  • Python 50%

  7   Link opens in a new tab Citations (Scopus)

• 2022

  A bilateral branch learning paradigm for short term wind power prediction with data of multiple sampling resolutions

  Liu, H. & Zhang, Z., 20 Dec 2022, In: Journal of Cleaner Production. 380, Part 1, 134977.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Modeling Framework 100%
  • Long Short-Term Memory Network 100%
  • Feature Selection 66%
  • Convolutional Neural Network 66%
  • Feature Extraction 66%

  14   Link opens in a new tab Citations (Scopus)

• A deep learning based CT image analytics protocol to identify lung adenocarcinoma category and high-risk tumor area

  Chen, L., Qi, H., Lu, D., Zhai, J., Cai, K., Wang, L., Liang, G. & Zhang, Z., 16 Sept 2022, In: STAR Protocols. 3, 3, 101485.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Analytic Image 100%
  • Deep Learning Method 100%
  • Python 100%
  • Computer Assisted Tomography 100%
  • Analysis Process 50%

  6   Link opens in a new tab Citations (Scopus)

  91 Downloads (CityUHK Scholars)

• A holistic robust method for optimizing multi-timescale operations of a wind farm with energy storages

  Zhang, B., Xu, G. & Zhang, Z., 1 Jul 2022, In: Journal of Cleaner Production. 356, 131793.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Compressed Air Motors 100%
  • Energy Storage 100%
  • Wind Power 42%
  • Power Grid 28%
  • Multistage 14%

  8   Link opens in a new tab Citations (Scopus)

• Denoising temporal convolutional recurrent autoencoders for time series classification

  Zheng, Z., Zhang, Z., Wang, L. & Luo, X., Apr 2022, In: Information Sciences. 588, p. 159-173

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • de-noising 100%
  • Autoencoder 100%
  • Time Series 100%
  • Temporal Convolutional Network 71%
  • Training Phase 28%

  43   Link opens in a new tab Citations (Scopus)

• Early-stage lifetime prediction for lithium-ion batteries: A deep learning framework jointly considering machine-learned and handcrafted data features

  Fei, Z., Zhang, Z., Yang, F., Tsui, K.-L. & Li, L., 15 Aug 2022, In: Journal of Energy Storage. 52, B, 104936.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Learning Framework 100%
  • Deep Learning Method 100%
  • Data Capacity 50%
  • Feature Selection 50%
  • Computational Experiment 50%

  52   Link opens in a new tab Citations (Scopus)

• Evaluation of mean-time-to-failure based on nonlinear degradation data with applications

  Palayangoda, L. K., Butler, R. W., Hon Keung Tony Ng, Yang, F. & Tsui, K. L., 2022, In: IISE Transactions. 54, 3, p. 286-302

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Time Mean 100%
  • Time Distribution 66%
  • Numerical Example 33%
  • Failure Time 33%
  • Parametric 33%

  9   Link opens in a new tab Citations (Scopus)

• Generative Probabilistic Wind Speed Forecasting: A Variational Recurrent Autoencoder Based Method

  Zheng, Z., Wang, L., Yang, L. & Zhang, Z., Mar 2022, In: IEEE Transactions on Power Systems. 37, 2, p. 1386-1398

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Probability 100%
  • Training Phase 100%
  • Optimisation Objective 100%
  • Conditional Likelihood 100%
  • Autoencoder 100%

  40   Link opens in a new tab Citations (Scopus)

• Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images

  Chen, L., Qi, H., Lu, D., Zhai, J., Cai, K., Wang, L., Liang, G. & Zhang, Z., 8 Apr 2022, In: Patterns. 3, 4, 100464.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Neoplasm 100%
  • Adenocarcinoma 100%
  • Lung 100%
  • Lung Adenocarcinoma 100%
  • Diagnostic Imaging 16%

  9   Link opens in a new tab Citations (Scopus)

  48 Downloads (CityUHK Scholars)

• The Attention-assisted Ordinary Differential Equation Networks for Short-term Probabilistic Wind Power Predictions

  Liu, X., Yang, L. & Zhang, Z., 15 Oct 2022, In: Applied Energy. 324, 119794.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Ordinary differential equations 100%
  • Long Short-Term Memory Network 57%
  • Prediction Model 28%
  • Prediction Interval 14%
  • Data Analytics 14%

  32   Link opens in a new tab Citations (Scopus)

• 2021

  Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm

  Dong, G., Yang, F., Tsui, K.-L. & Zou, C., Apr 2021, In: IEEE Transactions on Industrial Informatics. 17, 4, p. 2587-2599 9099954.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • State of Charge 100%
  • Search Algorithm 100%
  • Lithium-Ion Batteries 100%
  • Active Balancing 100%
  • Graph Theory 100%

  80   Link opens in a new tab Citations (Scopus)

• A robust model for scheduling power productions of multiple offshore wind farms using one-to-many maintenance services

  Zhang, B. & Zhang, Z., 5 Oct 2021, In: IET Renewable Power Generation. 15, 13, p. 2997-3013

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Integrated Solution 100%
  • Service Provider 100%
  • Optimization Problem 50%
  • Solution Method 50%
  • Privacy Information 50%

  5   Link opens in a new tab Citations (Scopus)

  58 Downloads (CityUHK Scholars)

• A Two-Stage Deep Autoencoder-Based Missing Data Imputation Method for Wind Farm SCADA Data

  Liu, X. & Zhang, Z., 1 May 2021, In: IEEE Sensors Journal. 21, 9, p. 10933-10945

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Data Imputation 100%
  • Imputation Method 100%
  • Autoencoder 100%
  • Objective Function 25%
  • Method Performs 25%

  67   Link opens in a new tab Citations (Scopus)

• A two-stage model for asynchronously scheduling offshore wind farm maintenance tasks and power productions

  Zhang, B. & Zhang, Z., Sept 2021, In: International Journal of Electrical Power & Energy Systems. 130, 107013.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Maintenance Task 100%
  • Power Production 100%
  • Offshore Wind Farms 100%
  • Compressed Air Motors 100%
  • Wind Power 80%

  25   Link opens in a new tab Citations (Scopus)

• Automated rail surface crack analytics using deep data-driven models and transfer learning

  Zheng, Z., Qi, H., Zhuang, L. & Zhang, Z., Jul 2021, In: Sustainable Cities and Society. 70, 102898.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Transfer Learning 100%
  • Deep Transfer Learning 100%
  • YOLOv3 100%
  • Surface Crack 100%
  • Crack Detection 100%

  63   Link opens in a new tab Citations (Scopus)

• Early prediction of battery lifetime via a machine learning based framework

  Fei, Z., Yang, F., Tsui, K.-L., Li, L. & Zhang, Z., 15 Jun 2021, In: Energy. 225, 120205.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Feature Selection 100%
  • Machine Learning 100%
  • Learning System 100%
  • Feature Extraction 80%
  • Support Vector Machine 40%

  273   Link opens in a new tab Citations (Scopus)

• Life prediction of lithium-ion batteries based on stacked denoising autoencoders

  Xu, F., Yang, F., Fei, Z., Huang, Z. & Tsui, K.-L., Apr 2021, In: Reliability Engineering and System Safety. 208, 107396.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Life Prediction 100%
  • Lithium-Ion Batteries 100%
  • Denoising Autoencoders 100%
  • Lithium Ion Battery 100%
  • Deep Learning Method 66%

  154   Link opens in a new tab Citations (Scopus)

• Prognostics for lithium-ion batteries using a two-phase gamma degradation process model

  Lin, C. P., Ling, M. H., Cabrera, J., Yang, F., Yu, D. Y. W. & Tsui, K. L., Oct 2021, In: Reliability Engineering and System Safety. 214, 107797.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  • Degradation Process 100%
  • Lithium-Ion Batteries 100%
  • Gamma Process 100%
  • Good Agreement 100%
  • Time Mean 100%

  84   Link opens in a new tab Citations (Scopus)

• Short-term Multi-step Ahead Wind Power Predictions Based on A Novel Deep Convolutional Recurrent Network Method

  Liu, X., Yang, L. & Zhang, Z., Jul 2021, In: IEEE Transactions on Sustainable Energy. 12, 3, p. 1820-1833

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Recurrent Network 100%
  • Wind Power 100%
  • Convolutional Neural Network 100%
  • Gated Recurrent Unit 100%
  • Compressed Air Motors 25%

  81   Link opens in a new tab Citations (Scopus)

• Soil-Moisture-Sensor-based Automated Soil Water Content Cycle Classification with a Hybrid Symbolic Aggregate Approximation Algorithm

  Wang, Z., Wang, L., Huang, C., Zhang, Z. & Luo, X., 15 Sept 2021, In: IEEE Internet of Things Journal. 8, 18, p. 14003-14012

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Approximation Algorithms 100%
  • Approximation (Algorithm) 100%
  • Optimization Problem 100%
  • Vector Space Models 100%
  • Cosine Similarity 100%

  21   Link opens in a new tab Citations (Scopus)

• Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries

  Kong, J.-Z., Yang, F., Zhang, X., Pan, E., Peng, Z. & Wang, D., 15 May 2021, In: Energy. 223, 120114.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Feature Extraction 100%
  • Lithium-Ion Batteries 100%
  • Root Mean Square Error 50%
  • Remaining Useful Life 50%
  • Collected Data 25%

  195   Link opens in a new tab Citations (Scopus)

• Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning Based Approach

  Yang, L. & Zhang, Z., 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 3507911.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Compressed Air Motors 100%
  • Supervisory Control 100%
  • Gearbox 100%
  • Deep Learning Method 100%
  • Variational Autoencoder 100%

  124   Link opens in a new tab Citations (Scopus)

• 2020

  Battery state of health modeling and remaining useful life prediction through time series model

  Lin, C.-P., Cabrera, J., Yang, F., Ling, M. H., Tsui, K. L. & Bae, S. J., 1 Oct 2020, In: Applied Energy. 275, 115338.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Life Prediction 100%
  • Segment Length 100%
  • State of Health 100%
  • Slope Change 100%
  • Remaining Useful Life 100%

  133   Link opens in a new tab Citations (Scopus)

• Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model

  Yang, F., Wang, D., Xu, F., Huang, Z. & Tsui, K.-L., 15 Nov 2020, In: Journal of Power Sources. 476, 228654.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Extracted Feature 100%
  • Input Feature 100%
  • Lithium-Ion Batteries 100%
  • Model Tree 100%
  • Regression Tree 100%

  203   Link opens in a new tab Citations (Scopus)

• SOH Estimation and SOC Recalibration of Lithium-Ion Battery with Incremental Capacity Analysis & Cubic Smoothing Spline

  Lin, C. P., Cabrera, J., Yu, D. Y. W., Yang, F. & Tsui, K. L., 2020, In: Journal of the Electrochemical Society. 167, 9, 090537.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Recalibration 100%
  • Lithium-Ion Batteries 100%
  • State of Health 100%
  • Peak Height 57%
  • State of Charge 14%

  52   Link opens in a new tab Citations (Scopus)

  193 Downloads (CityUHK Scholars)