Hybrid power technology for ships is an effective way to promote the green and low-carbon development of maritime industry. The pattern recognition provides new research ideas rational allocation utilization energy in hybrid ships. To reduce fuel consumption, a nonlinear model predictive control management strategy based on working condition identification proposed optimal solve problem real-time adjustment generators batteries. core identify ship’s conditions algorithm. Firstly, achieve...

Aiming at the problem that path search rules in traditional planning methods are divorced from actual maneuverability of an unmanned surface vehicle (USV), a motion method state prediction rapidly exploring random tree (spRRT) is proposed. This retains discrete original RRT while adding continuity USV. Firstly, information for each movement (position, yaw angle, velocity, etc.), calculated based on mathematical model USV’s which takes into account complete dynamic constraints. Secondly, this...

With the wide application of lithium batteries, battery fault prediction and health management have become more important. This article proposes a method for predicting remaining useful life (RUL) lithium-ion batteries to avoid series safety problems caused by continuing use after reaching its service threshold. Since capacity is not easy obtain online, we propose that some measurable parameters should be used in discharge cycle estimate capacity. Then, estimated replace measured value...

Optimizing the operational performance of green ships can further improve energy saving and emission reduction effect ships, speed optimization is one more widely used effective measures. It a new challenge for shipping industry to achieve that simultaneously saves energy, reduces emissions meets transportation requirements, while considering changes in navigation environment. In this paper, hybrid electric ship efficiency strategy based on working condition prediction proposed solve problem...

How to achieve energy saving and emissions reduction is a critical issue of great concern all countries. The development marine hybrid power technology provides new research direction for rational distribution utilization. In this paper, an management strategy real-time regulation internal combustion engines motor torque designed solve the optimal problem parallel ships. A nonlinear model predictive control method used as core, aided by machine learning technique unscented Kalman filter....

In this paper, a hybrid ship powered by diesel generator sets and power batteries in series is considered. By analyzing the characteristics of cycle operating conditions, load under uncertainty firstly predicted. Then, considering economy, emissions continuous navigation time (endurance) ship, an energy optimization strategy based on predicted proposed to achieve goal minimum fuel consumption, maximum endurance operation. The experimental results show that, compared with fuzzy logic rules...

Abstract In recent years, with the development of battery technology, hybrid electric ship (HES), as a promising solution to reduce fuel consumption and emissions, has become research hotspot. However, frequent use will accelerate aging battery, replacement scrapped increase cost ship. Therefore, it is necessary consider delaying into energy control strategy HES. The equivalent minimization (ECMS) feasible because can be implemented in real time. under condition uncertain initial state...

Reducing energy consumption and carbon emissions from ships is a major concern. The development of hybrid technologies offers new direction for the rational distribution energy. Therefore, this paper establishes torque model internal combustion engines motors based on first principles fitting data collected test platform; in turn, it develops fuel emissions. Furthermore, effect irregular waves using an extended Kalman filter estimated as well feedback to controller disturbance variable....

A new method is proposed for the dynamic obstacle avoidance problem of unmanned surface vehicles (USVs) under international regulations preventing collisions at sea (COLREGs), which applies particle swarm optimization algorithm (PSO) to window approach (DWA) reduce optimal trajectory finding time and improve timeliness avoidance. Meanwhile, a fuzzy control designed dynamically adjust weight coefficients velocity distance terms in cost function DWA adapt changes environment. The...

The azimuth thruster is widely used in electric propulsion ships due to its excellent performance. thrust allocation (TA) method of multi-azimuth the key technology ship motion control. purpose TA accurately distribute and angle each provide vessel required force moment. A strategy based on improved non-dominated sorting genetic algorithm II (INSGA-II) developed this study. introduces differential mutation operator evolution (DE) replace polynomial variation NSGA-II, which improves local...

A surface ship sailing in the seaway usually encounters large yaw motions due to waves, which may lead heading changed. According principle of course keeping and sliding mode control, an eigenvalue decomposition adaptive controller (SMC) is presented base on horizontal coupling motion model. The simulation results indicate that introduced adaptation law can eliminate steady-state error capability improved.

In order to effectively optimize the load distribution between power sources during navigation of hybrid ships, a method for predicting ship demand based on real-time classification according different working conditions is proposed. The k-means clustering algorithm used quantify voyage history data classify ship’s into fast-changing and slow-changing conditions. Some characteristic parameters related are selected as input. Then, input category put least squares support vector machine learn...

In order to solve the problem of traditional sequential quadratic programming thrust allocation method, such as limited feasible region and low propulsion efficiency, a strategy based on model predictive control is proposed in this paper. The realized by rolling optimization control, moreover, considering possibility thruster failure, fault-tolerant proposed. simulation results show that can not only make ship run expected condition but also reduce average power consumption 16.3% compared...

The control problem for a ship steering system with speed loss is discussed in this paper. Two methods are proposed to deal the unknown bounded disturbance sliding mode controller applied nonlinear surface vessel heading system. uncertainties caused by changes taken as internal disturbances, while wave moments considered external disturbances. A feedback linearization method adopted simplify An adaptive and Nonlinear Disturbance Observer (NDO) course keeping manoeuvres provide robust...

With the continuous development worldwide of inland shipping industry, emissions to atmosphere have become a serious threat in terms pollution. Hybrid power technology is an important means for reducing pollution due from ships. This paper considers train series hybrid electric waterway boat. From analysis structure and principle train, parameter design its key devices presented, novel energy control strategy proposed. Navigation experience shows that proposed method are useful satisfactory.

The Internet of Vessels (IoV) is an extension the concept Things (IoT) to shipping industry. One ultimate goals ship networking realize intellectualization ships on basis development computer and intelligent control technology. field a hotspot current research. Power propulsion systems, whether they are propellers or other high-power loads, tend change dramatically in power consumption when operating naturally unpredictable marine environment. A thrust allocation strategy based model...