Weixiang Shen mainly focuses on Battery, Control theory, State of charge, Electrical engineering and Automotive engineering. His Battery research incorporates elements of Artificial neural network, Electric vehicle, Constant current and Algorithm. His work on Robustness, Observer and Sliding mode control as part of general Control theory study is frequently connected to Smoothing, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His study focuses on the intersection of State of charge and fields such as Electronic engineering with connections in the field of Equivalent circuit, Voltage, Voltage drop and Harmonics. His study on Photovoltaic system is often connected to Sizing as part of broader study in Electrical engineering. His work in Automotive engineering covers topics such as Microcontroller which are related to areas like Adaptive neuro fuzzy inference system, Inference system, Fuzzy neural nets and Neuro-fuzzy.
His scientific interests lie mostly in Control theory, Battery, State of charge, Voltage and Automotive engineering. His Control theory research includes themes of Control engineering, Wind power and Electric power system. His Battery research is multidisciplinary, relying on both Electric vehicle, Electrical engineering and Lithium.
His State of charge study combines topics in areas such as Kalman filter, Extended Kalman filter, Equivalent circuit, Observer and Electronic engineering. His studies in Electronic engineering integrate themes in fields like Photovoltaic system, Microcontroller and Inverter. His work deals with themes such as Artificial neural network, Driving cycle and Renewable energy, which intersect with Automotive engineering.
Weixiang Shen spends much of his time researching Battery, Control theory, State of charge, Voltage and Automotive engineering. He has researched Battery in several fields, including Fault, Robustness, Lithium and Short circuit. Weixiang Shen interconnects Electric power system and Electronics in the investigation of issues within Control theory.
His study in State of charge is interdisciplinary in nature, drawing from both Kalman filter and Extended Kalman filter. His work carried out in the field of Voltage brings together such families of science as Feature extraction, Electronic engineering and Convolutional neural network. His Automotive engineering study incorporates themes from Battery system, Driving cycle and Renewable energy.
The scientist’s investigation covers issues in Battery, Control theory, Automotive engineering, Battery management systems and State of charge. His biological study spans a wide range of topics, including Electric vehicle and Lithium. His work in Control theory is not limited to one particular discipline; it also encompasses Least squares.
His studies deal with areas such as Battery pack and Short circuit as well as Automotive engineering. His research in Battery management systems focuses on subjects like Reliability engineering, which are connected to State of health estimation and Photovoltaic system. His studies in State of charge integrate themes in fields like Kalman filter, Extended Kalman filter and Voltage.
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Single-Phase Uninterruptible Power Supply Based on Z-Source Inverter
Zhi Jian Zhou;Xing Zhang;Po Xu;W.X. Shen.
IEEE Transactions on Industrial Electronics (2008)
Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia
Renewable Energy (2009)
A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H Infinity Filters for State-of-Charge and Capacity Estimation
Cheng Chen;Rui Xiong;Weixiang Shen.
IEEE Transactions on Power Electronics (2018)
A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles
Xiaopeng Chen;Weixiang Shen;Zhenwei Cao;Ajay Kapoor.
Journal of Power Sources (2014)
Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation
Yongzhi Zhang;Rui Xiong;Hongwen He;Weixiang Shen.
IEEE Transactions on Power Electronics (2017)
Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters
Quanqing Yu;Rui Xiong;Cheng Lin;Weixiang Shen.
IEEE Transactions on Vehicular Technology (2017)
A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm
Cheng Lin;Hao Mu;Rui Xiong;Weixiang Shen.
Applied Energy (2016)
A new battery available capacity indicator for electric vehicles using neural network
W.X Shen;C.C Chan;E.W.C Lo;K.T Chau.
Energy Conversion and Management (2002)
Review of mechanical design and strategic placement technique of a robust battery pack for electric vehicles
Shashank Arora;Weixiang Shen;Ajay Kapoor.
Renewable & Sustainable Energy Reviews (2016)
Robust Adaptive Sliding-Mode Observer Using RBF Neural Network for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles
Xiaopeng Chen;Weixiang Shen;Mingxiang Dai;Zhenwei Cao.
IEEE Transactions on Vehicular Technology (2016)
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