What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Control theory
- Voltage
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 most cited work include:
- Single-Phase Uninterruptible Power Supply Based on Z-Source Inverter (168 citations)
- Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia (141 citations)
- A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles (131 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (50.68%)
- Battery (41.22%)
- State of charge (25.68%)
What were the highlights of his more recent work (between 2018-2021)?
- Battery (41.22%)
- Control theory (50.68%)
- State of charge (25.68%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- A Novel Fractional Order Model for State of Charge Estimation in Lithium Ion Batteries (60 citations)
- A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles (54 citations)
- State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter (46 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Control theory
- Voltage
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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