Several key technologies for 6G: Challenges and opportunities

…, Y Han, S Liu, F Tao, G Zhang, Z Fu… - IEEE Communications …, 2021 - ieeexplore.ieee.org
5G networks have been widely deployed all over the world, which involve massive multiple-in-put
multiple-output (MIMO), millimeter-wave communication, and other technologies to …

A hierarchical energy management strategy for fuel cell/battery/supercapacitor hybrid electric vehicles

Z Fu, Z Li, P Si, F Tao - International journal of hydrogen energy, 2019 - Elsevier
In this paper, a hierarchical energy management strategy (EMS) based on low-pass filter
and equivalent consumption minimization strategy (ECMS) is proposed in order to lift energy …

Energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles using deep reinforcement learning with action trimming

Z Fu, H Wang, F Tao, B Ji, Y Dong… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
As for fuel cell hybrid electric vehicle equipped with battery (BAT) and ultracapacitor (UC), its
dynamic topology structure is complex and different characteristics of three power sources …

Adaptive fuzzy finite-time tracking control of stochastic high-order nonlinear systems with a class of prescribed performance

Z Fu, N Wang, S Song, T Wang - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article investigates the adaptive fuzzy finite-time control problem for a class of high-order
stochastic nonlinear systems with a class of exponential type prescribed performance …

Data-driven reinforcement-learning-based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles

H Sun, Z Fu, F Tao, L Zhu, P Si - Journal of Power Sources, 2020 - Elsevier
A reinforcement-learning-based energy management strategy is proposed in this paper for
managing energy system of Fuel Cell Hybrid Electric Vehicles (FCHEV) equipped with three …

Optimization based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle considering fuel economy and fuel cell lifespan

Z Fu, L Zhu, F Tao, P Si, L Sun - International Journal of Hydrogen Energy, 2020 - Elsevier
Optimization of energy management strategy (EMS) for fuel cell/battery/ultracapacitor hybrid
electrical vehicle (FCHEV) is primarily aimed on reducing fuel consumption. However, …

A multisensor high-precision location method in urban environment

F Zhumu, L Yuxuan, S Pengju, T Fazhan… - IEEE Systems …, 2023 - ieeexplore.ieee.org
The integration of global navigation satellite system/inertial navigation system (GNSS/INS)
technology is prevalent in unmanned vehicles. However, GPS signals in complex …

Observer-based finite-time prescribed performance adaptive fuzzy control for nonlinear systems with hysteresis nonlinearity

Z Fu, H Ju, N Wang, L Jiao, F Tao - International Journal of Fuzzy Systems, 2023 - Springer
This paper researches the problem of finite-time prescribed performance adaptive fuzzy control
for uncertain strict-feedback nonlinear systems with Bouc-Wen type of hysteresis input. A …

Frequency decoupling-based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle using fuzzy control method

F Tao, L Zhu, Z Fu, P Si, L Sun - IEEE Access, 2020 - ieeexplore.ieee.org
In order to extend fuel cell lifespan and improve fuel economy of electrical hybrid vehicle
with fuel cell/battery/ultracapacitor (FCHEV), a frequency decoupling-based energy …

Tightly coupled visual-inertial fusion with image enhancement for robust positioning

Z Fu, Y Shi, P Si, S Gao, Y Yang - Measurement Science and …, 2024 - iopscience.iop.org
Traditional vision-based inertial odometry suffers from significant visual degradation, which
substantially impacts state estimation in challenging lighting environments. Thermal imaging …