WO2023200399A1 - Système et procédé pour planifier la charge de bateaux portuaires électriques - Google Patents

Système et procédé pour planifier la charge de bateaux portuaires électriques Download PDF

Info

Publication number
WO2023200399A1
WO2023200399A1 PCT/SG2023/050231 SG2023050231W WO2023200399A1 WO 2023200399 A1 WO2023200399 A1 WO 2023200399A1 SG 2023050231 W SG2023050231 W SG 2023050231W WO 2023200399 A1 WO2023200399 A1 WO 2023200399A1
Authority
WO
WIPO (PCT)
Prior art keywords
harbour
electric
charging
crafts
craft
Prior art date
Application number
PCT/SG2023/050231
Other languages
English (en)
Inventor
Mohamed RASHED
Original Assignee
Razor Blunt Labs Pte Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Razor Blunt Labs Pte Ltd filed Critical Razor Blunt Labs Pte Ltd
Publication of WO2023200399A1 publication Critical patent/WO2023200399A1/fr

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G3/00—Traffic control systems for marine craft
    • G08G3/02—Anti-collision systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/66—Data transfer between charging stations and vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/67—Controlling two or more charging stations
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/68—Off-site monitoring or control, e.g. remote control
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B79/00—Monitoring properties or operating parameters of vessels in operation
    • B63B79/40—Monitoring properties or operating parameters of vessels in operation for controlling the operation of vessels, e.g. monitoring their speed, routing or maintenance schedules
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2200/00—Type of vehicles
    • B60L2200/32—Waterborne vessels
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/10—Vehicle control parameters
    • B60L2240/12—Speed
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/60—Navigation input
    • B60L2240/62—Vehicle position

Definitions

  • the present disclosure generally relates to scheduling charging of electric harbour crafts. More particularly, the present disclosure describes various embodiments of a system and a method for scheduling charging of electric harbour crafts at charging stations.
  • the marine industry is advancing with technologies and practices to reduce fuel consumption and greenhouse gas emissions. Governments are aligned with these objectives and port authorities are calling for the electrification and hybridisation of harbour crafts.
  • the Maritime and Port Authority of Singapore aims to reduce absolute emissions from the domestic harbour craft fleet by 15% from 2021 levels, through the adoption of lower-carbon energy solutions such as blended bio-fuel, LNG, hybrid propulsion, and full-electric propulsion.
  • the MPA aims for the harbour craft fleet to halve 2030-level emissions by transitioning to full-electric propulsion and net zero fuels.
  • Electrification and hybridisation of harbour crafts are mainly achieved by fitting power and propulsion systems that incorporate rechargeable energy storage systems on board the harbour crafts.
  • Harbour crafts that are partially or fully powered by rechargeable energy storage systems are known as electric harbour crafts.
  • Electric harbour crafts that are partially run by rechargeable energy storage systems in cooperation with conventional fuel sources like diesel may also be referred to as hybrid harbour crafts.
  • Electric harbour crafts can be charged at charging stations located in harbours. However, with greater numbers of electric harbour crafts in the future, more of them would be expected to operate in harbours and this can lead to crowding at the harbours. Different electric harbour crafts would also have different energy storage systems with different charging requirements, and different charging stations would similarly have different charging capabilities.
  • a system for scheduling charging of electric harbour crafts comprises: a database comprising details of a set of electric harbour crafts and a set of charging stations configured for charging the electric harbour crafts; a scheduling module configured for generating schedule data for each electric harbour craft, the schedule data comprising a travel schedule and a charging schedule for the electric harbour craft and the details of one or more charging stations allocated to charge the electric harbour craft; the scheduling module configured for generating schedule data for each charging station, the schedule data comprising a charging schedule for the charging station and the details of one or more electric harbour crafts allocated to the charging station for charging; and a communication module configured for communicating with the electric harbour crafts and the charging stations, said communication comprising sending the schedule data to the respective electric harbour crafts and the respective charging stations.
  • a method for scheduling charging of electric harbour crafts comprises: obtaining details of a set of electric harbour crafts and a set of charging stations configured for charging the electric harbour crafts; generating schedule data for each electric harbour craft, the schedule data comprising a travel schedule and a charging schedule for the electric harbour craft and the details of one or more charging stations allocated to charge the electric harbour craft; generating schedule data for each charging station, the schedule data comprising a charging schedule for the charging station and the details of one or more electric harbour crafts allocated to the charging station for charging; and communicating with the electric harbour crafts and the charging stations, said communication comprising sending the schedule data to the respective electric harbour crafts and the respective charging stations.
  • Figure 1 is a schematic illustration of a system for scheduling charging of electric harbour crafts.
  • Figure 2 is a flowchart illustration of a method for scheduling charging of electric harbour crafts.
  • FIGS 3A to 3G are illustrations of charging schedules for charging electric harbour crafts.
  • depiction of a given element or consideration or use of a particular element number in a particular figure or a reference thereto in corresponding descriptive material can encompass the same, an equivalent, or an analogous element or element number identified in another figure or descriptive material associated therewith.
  • references to “an embodiment I example”, “another embodiment I example”, “some embodiments I examples”, “some other embodiments I examples”, and so on, indicate that the embodiment(s) I example(s) so described may include a particular feature, structure, characteristic, property, element, or limitation, but that not every embodiment I example necessarily includes that particular feature, structure, characteristic, property, element or limitation.
  • repeated use of the phrase “in an embodiment I example” or “in another embodiment I example” does not necessarily refer to the same embodiment / example.
  • the terms “comprising”, “including”, “having”, and the like do not exclude the presence of other features I elements I steps than those listed in an embodiment. Recitation of certain features I elements I steps in mutually different embodiments does not indicate that a combination of these features I elements I steps cannot be used in an embodiment.
  • the terms “a” and “an” are defined as one or more than one. The use of in a figure or associated text is understood to mean “and/or” unless otherwise indicated.
  • the term “set” is defined as a non-empty finite organisation of elements that mathematically exhibits a cardinality of at least one (e.g. a set as defined herein can correspond to a unit, singlet, or single-element set, or a multiple-element set), in accordance with known mathematical definitions.
  • the terms “first”, “second”, etc. are used merely as labels or identifiers and are not intended to impose numerical requirements on their associated terms.
  • each electric harbour craft 110 has a rechargeable energy storage system, such as batteries, configured to store electrical energy to power the electric harbour craft 110, either partially or fully.
  • An electric harbour craft 110 may be part powered by the energy storage system and part powered by traditional fuel sources such as diesel.
  • the electric harbour craft 110 may be a hybrid diesel-electric harbour craft 110.
  • the energy storage systems in the electric harbour crafts 110 can be charged at charging stations 120 that may be located onshore or offshore.
  • charging stations 120 may be located at harbours or docks where the electric harbour crafts 110 can berth for charging.
  • the system 100 operates as a supervisory platform and is communicative with the electric harbour crafts 110 and the charging stations 120 to schedule charging of the electric harbour crafts 110 at the charging stations 120, as well as to manage energy consumption at the electric harbour crafts 110 and the charging stations 120.
  • Each electric harbour craft 110 includes an onboard system 112 for communicating with the supervisory system 100 to provide travel guidance to the craft’s crew, manage energy consumption, and resolve conflicts such as between multiple electric harbour crafts 110 arriving at one charging station 120 simultaneously.
  • Each electric harbour craft 110 includes vessel systems 114 that are monitored and/or controlled by the onboard system 112.
  • the vessel systems 114 include power, propulsion, and navigational systems.
  • the onboard system 112 includes an edge device for sending data collected from the vessel systems 114 as well as local environment data to the supervisory system 100, and for receiving information from the supervisory system 100.
  • the onboard system 112 includes a human-machine-interface for enabling the craft’s crew to interact with the onboard system 112.
  • the onboard system 112 includes a processor for processing the collected data and the information received from the supervisory system 100.
  • Each charging station 120 is operated by an operator or host 130 that may be located at an on-site facility (i.e. at or near the charging station 120) or an off-site facility (i.e. remote from the charging station 120).
  • Each charging station 120 includes a monitoring system 122 having an edge device for sending data collected from the charging station 120 to the supervisory system 100, and for receiving information from the supervisory system 100.
  • the monitoring system 122 includes a human-machine-interface for enabling the station’s crew to interact with the monitoring system 122.
  • the monitoring system 122 includes a processor for processing the collected data and the information received from the supervisory system 100.
  • the edge devices are computer devices that control data communication at the boundary between two networks, i.e. between the supervisory system 100 and the onboard system 112, and between the supervisory system 100 and the monitoring system 122.
  • the edge devices include firewalls to monitor and filter network traffic.
  • the processors of the onboard system 112 and monitoring system 122 are configured to execute instructions, codes, computer programs, and/or scripts. Each processor includes suitable logic, circuitry, and/or interfaces to execute such operations or steps.
  • Some non-limiting examples of the processor include an application-specific integrated circuit (ASIC) processor, a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a field-programmable gate array (FPGA), and the like. While only one processor is shown, multiple processors may be present. Thus, while instructions may be discussed as executed by a processor, the instructions may be executed simultaneously, serially, or otherwise executed by one or multiple processors (e.g. in a multi-core configuration).
  • ASIC application-specific integrated circuit
  • the supervisory system 100 is communicative with the onboard system 112 and monitoring system 122 across a communication network 140.
  • the communication network 140 is a network layer, medium, or environment through which content, notifications, and/or messages are communicated among various components. Suitable security protocols, such as encryption protocols, may be implemented in the communication network 140 for secure communications among the components.
  • Some non-limiting examples of the communication network 140 include a virtual private network (VPN), wireless fidelity (Wi-Fi) network, light fidelity (Li-Fi) network, local area network (LAN), wide area network (WAN), LoRaWAN, metropolitan area network (MAN), satellite network, Internet, fibre optic network, coaxial cable network, infrared (IR) network, radio frequency (RF) network, and any combination thereof.
  • VPN virtual private network
  • Wi-Fi wireless fidelity
  • Li-Fi light fidelity
  • LAN local area network
  • WAN wide area network
  • LoRaWAN metropolitan area network
  • MAN metropolitan area network
  • satellite network Internet, fibre optic network, coaxial cable network
  • Various components in the communication network 140 may connect to the communication network 140 in accordance with various wired and wireless communication protocols, such as Transmission Control Protocol I Internet Protocol (TCP/IP), User Datagram Protocol (UDP), 2nd to 5th Generation (2G to 5G) communication protocols, Long Term Evolution (LTE) communication protocols, and any combination thereof.
  • Each component to the communication network 140 includes a data communication or transceiver module to communicate and transmit I receive data over the communication network 140.
  • a transceiver module include an antenna module, a radio frequency transceiver module, a wireless transceiver module, a Bluetooth transceiver module, an Ethernet port, a Universal Serial Bus (USB) port, or any other module I component I device configured for transmitting and receiving data.
  • USB Universal Serial Bus
  • an electric harbour craft 110 has multiple sources of energy onboard, such as a hybrid one that can be powered by electricity and diesel. Energy consumption in the electric harbour craft 110 should be properly managed which includes coordinating usage from the multiple energy sources.
  • the onboard system 112 of the electric harbour craft 110 may include a controller module configured for controlling the energy or power consumption. More specifically, the controller module is configured to determine in real-time the optimal instantaneous usage ratios between the energy sources while meeting the power demand as the electric harbour craft 110 travels along a travel route.
  • the controller module is configured with an equivalent consumption minimization strategy (ECMS) which is computationally efficient and provides instantaneous optimal control.
  • ECMS is a heuristic method that uses an approach of assigning cost to electrical energy, so that the use of electrical energy is made equivalent to using (or saving) a comparable amount of fuel.
  • This equivalence is characterized by an equivalence factor that leads to optimal usage of the energy sources. The equivalence factor is different for different travel routes and is updated prior to the electric harbour craft 110 commencing on a travel route.
  • the supervisory system 100 is communicative with the electric harbour crafts 110 and charging stations 120 for scheduling charging of the electric harbour crafts 110.
  • the supervisory system 100 may be based on a centralized model, decentralized model, or hybrid model.
  • a server is a physical or cloud data processing system on which a server program runs.
  • the server may be implemented in hardware or software, or a combination thereof.
  • Some non-limiting examples of the server include computers, laptops, mini-computers, mainframe computers, any non-transient and tangible machines that can execute a machine- readable code, cloud-based servers, distributed server networks, and a network of computers.
  • the supervisory system 100 includes a database comprising details of a set of electric harbour crafts 110 and a set of charging stations 120 configured for charging the electric harbour crafts 110.
  • the details include, but are not limited to, identifiers of the electric harbour crafts 110 and charging stations 120, power requirements of the electric harbour crafts 110, and charging capabilities of the charging stations 120.
  • New electric harbour crafts 110 and charging stations 120 can be added to the database and existing ones can be removed, such as when they are decommissioned. If an electric harbour craft 110 or charging station 120 has been modified, its details, such as the charging requirements and charging capabilities, can be changed in the database accordingly.
  • the supervisory system 100 includes a scheduling module configured for generating schedule data for each electric harbour craft 110.
  • the schedule data for each electric harbour craft 110 includes a travel schedule and a charging schedule for the electric harbour craft 110 and the details of one or more charging stations 120 allocated to charge the electric harbour craft 110.
  • the travel schedule includes the travel route and the time schedule for the electric harbour craft 110 to travel along the travel route, which may also be referred to as the service or mission route.
  • the charging schedule includes the expected times when the electric harbour craft 110 should arrive at the allocated charging stations 120 for charging, as well as the charging time windows which are the durations when the electric harbour craft 110 is berthed at the allocated charging stations 120 for charging.
  • the details of the allocated charging stations 120 include their identifiers and charging capabilities.
  • the scheduling module is further configured for generating schedule data for each charging station 120.
  • the schedule data for each charging station 120 includes a charging schedule for the charging station 120 and the details of one or more electric harbour crafts 110 allocated to the charging station 120 for charging.
  • the charging schedule includes the expected times when the allocated electric harbour crafts 110 should arrive at the charging station 120 for charging, as well as the charging time windows which are the durations when the allocated electric harbour crafts 110 are berthed at the charging station 120 for charging.
  • the details of the allocated electric harbour crafts 110 include their identifiers and charging requirements.
  • the supervisory system 100 further includes a communication module configured for communicating with the electric harbour crafts 110 and the charging stations 120, said communication comprising sending the schedule data to the respective electric harbour crafts 110 and the respective charging stations 120.
  • the communication module communicates with the edge devices of the electric harbour crafts 110 and the charging stations 120 across the communication network 140.
  • the supervisory system 100 which can be configured as a cloud-based platform, hosts digital twins of the electric harbour crafts 110 and charging stations 120 to support scheduled charging of the electric harbour crafts 110 and energy management for the electric harbour crafts 110 and charging stations 120.
  • the supervisory system 100 may further support in resolving planning and operational conflicts, such as when two electric harbour crafts 110 arrive at one charging station 120 at the same time.
  • the method 200 includes a step 210 of obtaining details of a set of electric harbour crafts 110 and a set of charging stations 120 configured for charging the electric harbour crafts 110.
  • the method 200 includes a step 220 of generating schedule data for each electric harbour craft 110, the schedule data comprising a travel schedule and a charging schedule for the electric harbour craft 110 and the details of one or more charging stations 120 allocated to charge the electric harbour craft 110.
  • the method 200 includes a step 230 of generating schedule data for each charging station 120, the schedule data comprising a charging schedule for the charging station 120 and the details of one or more electric harbour crafts 110 allocated to the charging station 120 for charging.
  • the method 200 includes a step 240 of communicating with the electric harbour crafts 110 and the charging stations 120, said communication comprising sending the schedule data to the respective electric harbour crafts 110 and the respective charging stations 120.
  • the schedule data sent to an electric harbour craft 110 informs the craft’s crew of the planned travel route for the electric harbour craft 110, the expected times of arrival for charging the electric harbour craft 110, and the locations of the charging stations 120 to berth the electric harbour craft 110 for charging.
  • the schedule data sent to a charging station 120 informs the station’s crew which electric harbour crafts 110 are planned to berth and charge at the charging station, and the expected times of arrival of the electric harbour crafts 110.
  • the communication module of the supervisory system 100 is also configured to receive data from the electric harbour crafts 110 and the charging stations 120.
  • an electric harbour craft 110 sends status updates to the supervisory system 100.
  • the status updates may include the current position, speed, power demand, and stored energy level of the electric harbour craft 110.
  • the status updates may also include the estimated time to depart for the travel route, estimated time to arrive at a charging station 120 for charging, and when the electric harbour craft 110 is approaching and exiting the charging station 120.
  • the status updates may also include changes that the craft’s crew may have made to the travel schedule, such as in case of any on-board emergencies.
  • a charging station 120 sends status updates to the supervisory system 100.
  • the status updates may include, failure I availability of the charging station 120, expected downtime of the charging station 120, whether an allocated electric harbour craft 110 has arrived and is connected to the charging station 120, and whether a non-allocated electric harbour craft 110 is connected to the charging station 120.
  • the scheduling module is configured for adjusting the schedule data based on real-time data of the electric harbour crafts 110 and/or the charging stations 120.
  • the communication module is further configured for sending the adjusted schedule data to the respective electric harbour crafts 110 and the respective charging stations 120.
  • the supervisory system 100 is able to provide real-time updates to the electric harbour crafts 110 and/or the charging stations 120 depending on the real-time data.
  • the supervisory system 100 receives, from the electric harbour crafts 110, the real-time data comprising current operational states of the electric harbour crafts 110, such as the position data, speed data, and estimated arrival time.
  • the supervisory system 100 receives, from the charging stations 120, the real-time data comprising current operational states of the charging stations 120, such as whether there is current downtime for the charging station 120 and the approximate downtime duration.
  • the real-time updates to the electric harbour crafts 110 and charging stations 120 facilitate resolution of potential conflicts.
  • One common conflict scenario is where two (or more) electric harbour crafts 110 are scheduled to arrive at one charging station 120 at different times, but one of the electric harbour crafts 110 deviates from the original charging schedule.
  • FIG. 3A shows the charging schedules 300 for two electric harbour crafts 110 to arrive at one or more charging stations 120 for charging.
  • the first electric harbour craft 110a is scheduled to arrive at the charging station 120 at time 310
  • the second electric harbour craft 110b is scheduled to arrive at the charging station 120 at time 320, wherein time 320 is after time 310.
  • the first electric harbour craft 110a may be referred to as the earlier electric harbour craft 110a
  • the second electric harbour craft 110b may be referred to as the later electric harbour craft 110b.
  • the earlier electric harbour craft 110a Upon arrival at time 310, the earlier electric harbour craft 110a would be charged over a charging time window 312.
  • the later electric harbour craft 110b would be charged over a charging time window 322. If the electric harbour crafts 110 follow the charging schedules 300, the charging time window 312 would end before time 320 when the charging time window 322 starts.
  • the electric harbour crafts 110 After charging, the electric harbour crafts 110 would return to their planned travel schedules and may later return for further charging. As shown in Figure 3A, the first electric harbour craft 110a is scheduled to return to the charging station 120 (which can be the same or different one) at time 330, and the second electric harbour craft 110b is scheduled to return to the charging station 120 at time 340, wherein time 340 is after time 330. Upon arrival at time 330, the earlier electric harbour craft 110a would be charged over a charging time window 332. Upon arrival at time 340, the later electric harbour craft 110b would be charged over a charging time window 342.
  • a conflict in the charging schedules 300 can happen when the charging time windows 312,322 overlap each other, such as when the earlier electric harbour craft 110a is late, i.e. its expected time of arrival is between time 310 and time 320.
  • the expected time of arrival of the earlier electric harbour craft 110a is later than scheduled.
  • the earlier electric harbour craft 110a sends real-time data including the current operational state, such as the position, speed, and estimated arrival time, to the supervisory system 100.
  • the supervisory system 100 confirms the new expected time of arrival of the earlier electric harbour craft 110a and explores various solutions to resolve the conflict with the later electric harbour craft 110b.
  • the supervisory system 100 adjusts the schedule data and sends the adjusted schedule data to the earlier electric harbour craft 110a, and optionally to the later electric harbour craft 110b and the allocated charging station 120.
  • the adjusted schedule data may include a set of actions for the electric harbour crafts 110 and/or the charging stations 120 to perform to avoid conflict between them.
  • the actions include adjusting speed of the electric harbour crafts 110.
  • the actions include adjusting charging rate of the charging stations 120.
  • the charging rate may include the charging power and/or charging time.
  • the adjusted schedule data schedules the two (or more) electric harbour crafts 110 to consecutively arrive at one charging station 120, such that the actions avoid conflict between the earlier electric harbour craft 110a and the later electric harbour craft 110b at the charging station 120.
  • the actions may include increasing the speed of the earlier electric harbour craft 110a.
  • a reference speed may be provided. This would enable the earlier electric harbour craft 110a to arrive at the original expected time 310. However, increasing the speed would use up more energy from the energy storage system of the earlier electric harbour craft 110a, possibly extending the charging time window 312.
  • the actions may include increasing the charging rate of the charging station 120 for the earlier electric harbour craft 110a. This would shorten the charging time window 312 while supplying the earlier electric harbour craft 110a with the desired energy level.
  • the earlier electric harbour craft 110a may continue on its current speed such that it arrives later than the original expected time 310. However, because of the expected arrival time 320 for the later electric harbour craft 110b, the available time for the charging station 120 to charge the earlier electric harbour craft 110a is shortened. To avoid overlapping of the charging time windows 312,322, the actions may include increasing the charging rate of the charging station 120 for the earlier electric harbour craft 110a. This would shorten the charging time window 312 while supplying the earlier electric harbour craft 110a with the desired energy level.
  • the earlier electric harbour craft 110a may continue on its current speed such that it arrives later than the original expected time 310.
  • the actions may include decreasing the speed of the later electric harbour craft 110b. This would enable the later electric harbour craft 110b to arrive at the charging station 120 later than the original expected time 320.
  • the charging rates for both electric harbour crafts 110 can be unchanged.
  • the earlier electric harbour craft 110a may continue on its current speed such that it arrives later than the original expected time 310.
  • the actions may include decreasing the speed of the later electric harbour craft 110b. This deliberately delays the later electric harbour craft 110b so that it would arrive at the charging station 120 later than the original expected time 320.
  • a reference speed or reference time of arrival may be provided.
  • the charging time window 322 for the second electric harbour craft 110b may overlap with time 330 and conflict with the next charging time window 332 for the first electric harbour craft 110a.
  • the actions may include increasing the charging rate of the charging station 120 for the second electric harbour craft 110b. This would shorten the charging time window 322 while supplying the second electric harbour craft 110b with the desired energy level, and maintains the charging schedule 300 of the second electric harbour craft 110b.
  • the charging station 120 may have multiple interfaces such that it is able to connect to two or more electric harbour crafts 110 for simultaneous charging.
  • the charging time windows 312,322 can overlap and the earlier electric harbour craft 110a may continue on its current speed.
  • the actions may include changing the travel route for the first electric harbour craft 110a and/or the second electric harbour craft 110b.
  • the first electric harbour craft 110a or the second electric harbour craft 110b may be directed to a different nearby charging station 120.
  • the charging station 120 has an interface that is not compatible with the electric harbour crafts 110, and the electric harbour crafts 110 may be directed to a different charging station 120.
  • the charging station 120 may have a sudden downtime and is not available for use.
  • the downtime may be caused by various factors, such as equipment failure or power supply constraints.
  • the actions may include directing the electric harbour crafts 110 to a different nearby charging station 120. If there is no suitable charging station 120 that is nearby, the supervisory system 100 may then search through all the available charging stations 120 stored on the database and locate a suitable one for the electric harbour crafts 110.
  • the charging station 120 may inform the supervisory system 100 of the expected downtime and the adjusted schedule data may include adjusted charging schedules 300, wherein the electric harbour crafts 110 would be scheduled to arrive at the charging station 120 after the expected downtime, thus delaying the charging time windows 312,322.
  • a global network of electric harbour crafts 110 and charging stations 120 may be divided into multiple local networks, each local network containing a subset of the electric harbour crafts 110 and a subset of the charging stations 120.
  • a local network is confined to a smaller geographical region of a territory.
  • the electric harbour crafts 110 and charging stations 120 within each local network may be communicative with each other even in absence of the supervisory system 100, such as during downtime or scheduled maintenance.
  • the method includes receiving, by an electric harbour craft 110, schedule data for the electric harbour craft 110, the schedule data comprising a travel schedule and a charging schedule for the electric harbour craft 110 and details of one or more charging stations 120 allocated to charge the electric harbour craft 110.
  • the method further includes communicating with the charging stations 120 and other electric harbour crafts 110 during the travel schedule to thereby schedule charging of the electric harbour craft 110 according to the charging schedule.
  • the electric harbour craft 110 may adjust the schedule data based on real-time communication with the charging stations 120 and other electric harbour crafts 110.
  • the adjusted schedule data may include a set of actions for the electric harbour craft 110 to perform to avoid conflict with the charging stations 120 and other electric harbour crafts 110, such as in the scenarios described above with reference to Figures 3A to 3G.
  • the actions include adjusting the speed of the electric harbour craft 110.
  • the method includes receiving, by a charging station 120, schedule data for each charging station 120, the schedule data comprising a charging schedule for the charging station 120 and details of one or more electric harbour crafts 110 allocated to the charging station for charging.
  • the method further includes communicating with the electric harbour crafts 110 and other charging stations 120 to thereby schedule charging of the electric harbour crafts 110 according to the charging schedule.
  • the charging station 120 may adjust the schedule data based on real-time communication with the electric harbour crafts 110 and other charging stations 120.
  • the adjusted schedule data may include a set of actions for the charging station 120 to perform to avoid conflict with the electric harbour crafts 110 and other charging stations 120, such as in the scenarios described above with reference to Figures 3A to 3G.
  • the actions include adjusting the charging rate of the charging station 120.
  • Direct communication between the electric harbour crafts 110 and charging stations 120 allows for decentralized decision making across the various local networks, particularly in absence of the supervisory system 100.
  • Each local network is able to make localized decisions according to the unique set of electric harbour crafts 110 and charging stations 120 in the local network, without necessarily having the supervisory system 100 participate in the decision making process.
  • the real-time communication between the electric harbour crafts 110 and charging stations 120 includes broadcasting to each other their current operational states, such as position, speed, and estimated arrival time at the charging stations 120. This enables for a real-time continuous negotiation process that then can be used by each of the electric harbour crafts 110 and charging stations 120 to perform local optimization actions, such as to adjust the speed to maintain schedule while conserving energy. These actions also enable the electric harbour crafts 110 and charging stations 120 to resolve conflicts without relying on the supervisory system 100.
  • the supervisory system 100 may still be communicative with the local networks so that the supervisory system 100 is aware of all the electric harbour crafts 110 and charging stations 120 and the decisions made in each local network.
  • the supervisory system 100 may still monitor all the local networks for global optimality.
  • the supervisory system 100 may participate in the decision-making process to optimize the schedule data and resolve conflicts in parallel with the local decisions within each local network.
  • the supervisory system 100 may interfere with the schedule data adjusted by an electric harbour craft 110 of a local network if the adjusted schedule data would negatively affect other local networks and/or the global network. For example, there may be a foreign craft entering the geographical region of the local network which the electric harbour crafts 110 in the local network are not aware of. The supervisory system 100 may interfere and adjust the schedule data of the electric harbour crafts 110 and charging stations 120 in the local network to handle any conflicts that may arise from the intrusion of the foreign craft.
  • a set of remedial actions can be performed by the electric harbour crafts 110 and/or charging stations 120 to resolve potential conflicts.
  • the actions may be determined centrally by the supervisory system 100.
  • each local network may determine the actions for the electric harbour crafts 110 and charging stations 120 in the local network.
  • the supervisory system 100 may exercise global control over the localized decision-making processes of the local networks.
  • each electric harbour craft 110 is preferably planned with timely charging according to the charging schedule, without knowing what the remedial actions to take are, the craft’s crew would be uncertain of how to resolve conflicts, such as with another electric harbour craft 110. This leads to time wastage, as well as inefficient usage and degradation of the onboard energy storage system.
  • Real-time data between the electric harbour crafts 110 and charging stations 120 as well as with the supervisory system 100 facilitates resolution of conflicts while simultaneously managing energy usage and slowing degradation of the energy storage systems in the electric harbour crafts 110. It will be appreciated that the degradation of the energy storage system is dependent on various factors such as discharge rate during use by the electric harbour craft 110 and the charging rate from the charging station 120.
  • the supervisory system 100, electric harbour crafts 110, and charging stations 120 include suitable machine learning modules configured to determine the actions for the electric harbour crafts 110 and/or the charging stations 120 to perform. More specifically, each machine learning module is trained to determine the actions based on minimizing deviation from the travel schedules and minimizing energy consumption of the electric harbour crafts 110. As explained in some embodiments above, the speed of an electric harbour craft 110 and the charging rate of a charging station 120 can be adjusted to resolve a conflict. However, these adjustments should take into account that the electric harbour craft 110 is able to still complete their travel schedule, i.e. complete its intended service or mission route, and at the minimum energy consumption or cost. The machine learning module is thus configured to resolve conflicts by determining appropriate remedial actions, while simultaneously managing energy consumption and degradation of the energy storage system.
  • the machine learning module is configured for reinforcement learning.
  • the machine learning module comprises a Bayesian reinforcement learning module. It will be appreciated that other machine learning algorithms or techniques may be used.
  • the machine learning module may be trained using historical data collected from communications between the supervisory system 100, electric harbour crafts 110, and charging stations 120.
  • the machine learning module may include neural networks for determining energy consumption of the electric harbour crafts 110.
  • the trained machine learning module is able to generate trained policies for each electric harbour craft 110 and each charging station 120.
  • the trained policies include the adjusted schedule data and are executed onboard each electric harbour craft 110 and each charging station 120 in a decentralized manner for each local network.
  • This decentralized architecture reduces computational costs and enables the electric harbour crafts 110 and charging stations 120 to perform the remedial actions quickly when there is a potential conflict.
  • the machine learning modules in the electric harbour crafts 110 and charging stations 120 of a local network may also be tuned to the unique environmental factors of the local network so that policies leading to higher local optimality can be deployed, while still having the supervisory system 100 monitor the global network for global optimality.
  • the locally trained machine learning modules also facilitate updating in policies and scaling up of the local network.
  • some electric harbour crafts 110 are hybrid and the onboard system 112 has a controller module configured with an ECMS that is characterized by an equivalence factor which is different depending on the craft’s mission.
  • the machine learning module may be trained to provide real-time updates to the hybrid harbour craft 110 to adjust the equivalence factor in real-time. This optimizes usage of the energy sources onboard the hybrid harbour craft 110 while it continues travelling according to its travel schedule.
  • Embodiments of the present disclosure thus provide an ecosystem of electric harbour crafts 110 and charging stations 120 that are communicative with each other and with the supervisory system 100 for energy management and conflict resolution.
  • the overall energy consumption across the ecosystem can be optimized and data reports can be provided to relevant stakeholders for traceability and accountability.
  • the ecosystem can also be used to support wider power grids, such as supplying the power grids with any excess energy or energy storage buffers resulting from the energy management.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Mechanical Engineering (AREA)
  • Human Resources & Organizations (AREA)
  • Transportation (AREA)
  • Power Engineering (AREA)
  • Economics (AREA)
  • Ocean & Marine Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Chemical & Material Sciences (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Combustion & Propulsion (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Educational Administration (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

La présente divulgation concerne de manière générale un système (100) et un procédé (200) pour planifier la charge de bateaux portuaires électriques (110). Le système (100) comporte une base de données comprenant des détails relatifs à des bateaux portuaires électriques (110) et des stations de charge (120) permettant de charger les bateaux (110). Le système (100) génère des données de planification pour chaque bateau (110) et chaque station (120). Les données de planification comprennent des programmes de charge pour les bateaux (110) et les stations (120) attribués les uns aux autres pour la charge. Le système envoie ensuite les données de planification aux bateaux (110) respectifs et aux stations (120) respectives.
PCT/SG2023/050231 2022-04-12 2023-04-05 Système et procédé pour planifier la charge de bateaux portuaires électriques WO2023200399A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SG10202203750V 2022-04-12
SG10202203750V 2022-04-12

Publications (1)

Publication Number Publication Date
WO2023200399A1 true WO2023200399A1 (fr) 2023-10-19

Family

ID=88330444

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/SG2023/050231 WO2023200399A1 (fr) 2022-04-12 2023-04-05 Système et procédé pour planifier la charge de bateaux portuaires électriques

Country Status (1)

Country Link
WO (1) WO2023200399A1 (fr)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019125205A (ja) * 2018-01-17 2019-07-25 国立大学法人東京海洋大学 電池推進船を運航させる水上交通システムに適用される運航支援システム
US20210086647A1 (en) * 2019-09-20 2021-03-25 AMPLY Power, Inc. Real-time electric vehicle fleet management

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019125205A (ja) * 2018-01-17 2019-07-25 国立大学法人東京海洋大学 電池推進船を運航させる水上交通システムに適用される運航支援システム
US20210086647A1 (en) * 2019-09-20 2021-03-25 AMPLY Power, Inc. Real-time electric vehicle fleet management

Similar Documents

Publication Publication Date Title
US11376979B2 (en) System and method for charging a network of mobile battery-operated units on-the-go
Aslam et al. Internet of ships: A survey on architectures, emerging applications, and challenges
US11890957B2 (en) System and method for a battery on wheels (BoW) for charging mobile battery-operated units
US20210284043A1 (en) Multi-level battery systems for battery-operated entities, methods for rapid charge transfer therebetween, and methods for optimizing entity routing and network charge distribution
JP5702466B2 (ja) 船舶におけるエネルギー使用量の制御方法及び装置
WO2016198816A1 (fr) Système d'infrastructure de réseau de véhicule sans fil mobile apte à un déplacement (mmwns) et procédé associé
US20220114506A1 (en) Systems and Methods for Optimizing Multi-Modal Transportation
CN107203824A (zh) 一种拼车订单分配方法及装置
Saafi et al. AI-aided integrated terrestrial and non-terrestrial 6G solutions for sustainable maritime networking
KR20090091277A (ko) 선박의 운항지시 최적화 프로그램을 기록한 컴퓨터로 읽을 수 있는 기록매체
US20210192962A1 (en) Fleet Controller
KR20120063769A (ko) 선박 관제 제어 장치 및 그 방법과 선박 관제 장치 및 그 방법
WO2020190279A1 (fr) Procédé et appareil pour la gestion d'énergie automatisée d'un vaisseau marin
Dalaklis et al. A “Net-Centric” conduct of navigation and ship management
Liu et al. Integrated optimization of timetable, bus formation, and vehicle scheduling in autonomous modular public transport systems
CN114793239A (zh) 一种内河智能船舶域控制器功能实现的系统及方法
US20230252395A1 (en) A quay crane operation method
WO2023200399A1 (fr) Système et procédé pour planifier la charge de bateaux portuaires électriques
CN109872552A (zh) 一种自动驾驶载运工具、信息处理方法
CN109872523A (zh) 一种自动调度服务端、调度方法、设备及可读存储介质
CN109871005A (zh) 一种自动驾驶载运工具调度系统、方法、设备及可读存储介质
CN208588940U (zh) 一种自动驾驶载运工具调度系统
US20190005414A1 (en) Rubust dynamic time scheduling and planning
Kopardekar Urban air mobility regional readiness
CN114694374A (zh) 用于车辆导航的预测性吊桥操作的系统和方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23788699

Country of ref document: EP

Kind code of ref document: A1