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A generic linear non-causal optimal control framework integrated with wave excitation force prediction for multi-mode wave energy converters with application to M4
(Elsevier, 2020-01-30)
The multi-float multi-mode wave energy converter (M-WEC) M4 has essentially linear hydrodynamics characteristics in operational and even extreme waves. This is in contrast to point-absorber and most raft-type devices where ...
Cooperative control strategy for plug-in hybrid electric vehicles based on a hierarchical framework with fast calculation
(Elsevier, 2020-04-01)
Developing optimal control strategies with capability of real-time implementation for plug-in hybrid electric vehicles (PHEVs) has drawn explosive attention. In this study, a novel hierarchical control framework is proposed ...
Online energy management strategy of fuel cell hybrid electric vehicles based on rule learning
(Elsevier, 2020-07-01)
In this paper, a rule learning based energy management strategy is proposed to achieve preferable energy consumption economy for fuel cell hybrid electric vehicles. Firstly, the optimal control sequence of fuel cell power ...
Remaining Useful Life Prediction for Lithium-ion Batteries Based on Capacity Estimation and Box-Cox Transformation
(IEEE, 2020-01-01)
IEEE Remaining useful life (RUL) prediction of lithium-ion batteries plays an important role in intelligent battery management systems (BMSs). The current RUL prediction methods are mainly developed based on offline training, ...
Adaptive Vibration Control for an Active Mass Damper of a High-rise Building
(Institute of Electrical and Electronics Engineers, 2020)
As a kind of large flexible structure, high-rise buildings
need to consider wind-resistant and anti-seismic problems
for the safety of occupants and properties, especially in coastal
areas. This paper proposes an infinite ...
Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution
(Elsevier, 2020-09-24)
© 2020 Elsevier B.V. Lithium-ion battery packs are widely deployed as power sources in transportation electrification solutions. To ensure safe and reliable operation of battery packs, it is of critical importance to monitor ...
Stochastic model predictive control for energy management of power-split plug-in hybrid electric vehicles based on reinforcement learning
(Elsevier, 2020-09-28)
In this paper, a stochastic model predictive control (MPC) method based on reinforcement learning is proposed for energy management of plug-in hybrid electric vehicles (PHEVs). Firstly, the power transfer of each component ...