A5090007342- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Vehicle Dynamics and Control Systems
- Advancements in Battery Materials
- Electric Vehicles and Infrastructure
- Real-time simulation and control systems
- Advanced Battery Materials and Technologies
- Sensorless Control of Electric Motors
- Mechanical Engineering and Vibrations Research
- Hydraulic and Pneumatic Systems
- Electric Motor Design and Analysis
- Industrial Technology and Control Systems
- Control Systems in Engineering
- Fuel Cells and Related Materials
- Vehicle emissions and performance
- 3D Shape Modeling and Analysis
- Multilevel Inverters and Converters
- Computer Graphics and Visualization Techniques
- Probabilistic and Robust Engineering Design
- Power Systems and Renewable Energy
- Advanced Multi-Objective Optimization Algorithms
- Fault Detection and Control Systems
- Advanced Combustion Engine Technologies
- Embedded Systems and FPGA Design
- Soil Mechanics and Vehicle Dynamics
Beijing Institute of Technology
2015-2024
Capital Medical University
2024
Peking University
2024
Beijing Jishuitan Hospital
2024
China Academy of Launch Vehicle Technology
2012-2023
Tencent (China)
2023
Neijiang Normal University
2023
Southeast University
2023
State Grid Corporation of China (China)
2023
Guangdong Polytechnic Normal University
2023
In electric vehicles, a battery management system highly relies on the measured current, voltage, and temperature to accurately estimate state of charge (SOC) health. Thus, normal operation sensors is great importance protect batteries from running outside their safe operating area. this paper, simple effective model-based sensor fault diagnosis scheme developed detect isolate current or voltage for series-connected lithium-ion pack. The difference between true SOC estimated each cell in...
Accurate estimation of state-of-charge (SoC) is vital to safe operation and efficient management lithium-ion batteries. Currently, the existing SoC methods can accurately estimate in a certain condition, but uncertain operating environments, such as unforeseen road conditions aging related effects, they may be unreliable or even divergent. This due fact that characteristics batteries vary under different adoption constant parameters battery model, which are identified offline, will affect...
Electrode material aging leads to a decrease in capacity and/or rise resistance of the whole cell and thus can dramatically affect performance lithium-ion batteries. Furthermore, phenomena are extremely complicated describe due coupling various factors. In this review, we give an interpretation capacity/power fading electrode-oriented mechanisms under cycling storage conditions for metallic oxide-based cathodes carbon-based anodes. For cathode batteries, mechanical stress strain resulting...
The current research of state charge (SoC) online estimation lithium-ion battery (LiB) in electric vehicles (EVs) mainly focuses on adopting or improving models and filters. However, little attention has been paid to the accuracy various open circuit voltage (OCV) for correcting SoC with aid ampere-hour counting method. This paper presents a comprehensive comparison study eighteen OCV which cover majority used literature. low-current tests are conducted typical commercial LiFePO4/graphite...
An accurate driving cycle prediction is a vital function of an onboard energy management strategy (EMS) for battery/ultracapacitor hybrid storage system (HESS) in electric vehicles. In this paper, we address the requirements to achieve better EMS performances HESS. First, long short-term memory-based method proposed predict cycles under framework model predictive control (MPC) algorithm. Secondly, three EMSs based on fuzzy logic, MPC, and dynamic programming are systematically evaluated...
We present a novel method, called NeuralUDF, for reconstructing surfaces with arbitrary topologies from 2D images via volume rendering. Recent advances in neural rendering based reconstruction have achieved compelling results. However, these methods are limited to objects closed since they adopt Signed Distance Function (SDF) as surface representation which requires the target shape be divided into inside and outside. In this paper, we propose represent Unsigned (UDF) develop new scheme...
In this paper, we introduce a set of simple yet effective TOken REduction (TORE) strategies for Transformer-based Human Mesh Recovery from monocular images. Current SOTA performance is achieved by structures. However, they suffer high model complexity and computation cost caused redundant tokens. We propose token reduction based on two important aspects, i.e., the 3D geometry structure 2D image feature, where hierarchically recover mesh with priors body conduct clustering to pass fewer but...
The wheel driving torque on four-wheel-drive electric vehicles (4WDEVs) can be modulated precisely and continuously, therefore maneuverability energy-saving control carried out at the same time. In this paper, a distribution strategy is developed based multi-objective optimization to improve vehicle reduce energy consumption. high-layer of presented method, sliding mode used calculate desired yaw moment due model inaccuracy parameter error. low-layer, mathematical programming with penalty...