Flywheel technology has been around for a long time and has many benefits over other energy storage systems. The one major drawback is the energy loss to add and draw energy out of the flywheels. An electric motor/generator loses energy through heat/friction during both the input and output phases. Chemical batteries used to store energy experience excess heat from massive power inputs or outputs causing loss of energy.
In a following description, reference is made to the accompanying drawings, which form a part hereof, and in which are shown by way of illustration a specific example in which the invention may be practiced. It is to be understood that other embodiments may be utilized, and structural changes may be made without departing from the scope of the present invention.
It should be noted that the descriptions that follow, for example, in terms of a kinetic energy transference device method and devices are described for illustrative purposes and the underlying system can apply to any number and multiple types of use applications. In one embodiment of the present invention, the kinetic energy transference device method and devices can be configured using a multiple-axis mechanism. The kinetic energy transference device method and devices can be configured to include a gate or speed governor and can be configured to include a computer-controlled module using the present invention.
In one embodiment from the planetary gear set 110 force (kinetic energy) is transferred to an automobile wheel 134 through an output automobile wheel 130 axle through a CVT planetary gear system and gate #3 132. In another embodiment force (kinetic energy) is transferred from the automobile wheel 134 through the CVT planetary gear system and gate #3 132 and output automobile wheel 130 axle to the planetary gear set 110. This force is stored in the flywheel storage system 120 in one embodiment.
The kinetic energy transference device (KETD) 100 is integrated into a continually variable transmission (CVT) planetary gear system 110. A primary kinetic source is coupled to the primary kinetic source axle 104. The primary kinetic source axle 104 is coupled to the primary kinetic source transfer gear. A first-speed governed kinetic energy transfer gear coupled to the first-speed governor transfers the measured amount of kinetic energy needed to provide the most efficient use of the energy for a first operation through the first-speed governed kinetic energy axle.
The excess speed is always transferred into the moving gate. This moving gate flows at the speed that is subtracted from the input speed to provide the desired output speed. No excess speed leaves the CVT planetary gear system. The speed is divided into two paths, with one being the speed of the gate and the other being to flow out to the desired load. The first computer-controlled module analyses the kinetic energy imparted from the primary kinetic source and the kinetic energy needed to provide the most efficient use of the energy for a first operation to determine the measured amount of kinetic energy to transfer through the first-speed governor. The measured amount of kinetic energy determined is transmitted to the first-speed governor. The first-speed governor adjusts the kinetic energy control devices to impart the measured amount of kinetic energy to the first speed-governed kinetic energy axle.
Data received from the second operating system is processed in the second computer-controlled module and analyzed to determine the current kinetic energy needed for the second operation. The second speed governor makes adjustments in the kinetic energy control devices to transfer additional kinetic energy to the second operating system. The additional kinetic energy from the stored kinetic energy is transferred from the KETD flywheel surplus kinetic energy transfer gear to a second speed-governed kinetic energy transfer gear coupled to a second speed-governed energy axle.
The KETD flywheel surplus kinetic energy transfer gear is coupled to the third computer-controlled module that is coupled to the KETD flywheel surplus kinetic energy axle. The third computer-controlled module receives data from the first computer-controlled module and the second computer-controlled module. The data received from the two modules are analyzed by the third computer-controlled module to determine how much surplus kinetic energy to transfer to one of the operations of one embodiment.
The primary kinetic energy source of the flywheel storage system 120. The flywheel storage system 120 is coupled to the continually variable transmission (CVT) planetary gear system 110. The CVT planetary gear system 110 is integrated with a multiple-axis mechanism kinetic energy transference device. The multiple-axis mechanism kinetic energy transference devices include multiple gates or speed governors, wherein each is configured to include a computer-controlled module. The computer-controlled modules process operational data to determine the most efficient use of the kinetic energy for each operation.
The measured most efficient use amount of the kinetic energy for each operation is transmitted to the multiple gates or speed governors. The multiple gates or speed governors make adjustments in speed many times a second. The adjusted speeds transfer of the measured amount of kinetic energy for each operation is made through multiple gears and output shafts/drive shafts to serve each operation. Surplus kinetic energy not needed for operations is stored in the flywheel storage system of one embodiment.
In a system that only has an engine (power source) and an output (Automobile wheel), only one CVT planetary gear system is required since there is only one path energy can travel between the power source and automobile wheel. Regardless of which direction the energy is flowing, it can only flow through one path.
In a system where a third input/output is added, two more CVT planetary gear systems are required to cover the 2 additional paths to function with the one added force source. For example, in a system with an engine (Gas), a Flywheel storage system 120 of
There is a need for each source to have a CVT planetary gear system 120 of
When working with two or more CVT planetary gear systems with their corresponding Gate control module, a Master Control Module must be in place to correspond with the different gate controls. Continuous monitoring of the energy demands, and availability is needed to properly set the correct gate speed and force of the different CVT planetary gear system 120 of
A first speed governed kinetic energy transfer gear coupled to the first-speed governor 842 transfers the measured amount of kinetic energy needed to provide the most efficient use of the energy for a first operation through the first speed governed kinetic energy axle 844. The excess speed not needed for the first operation is transferred out a separate path to a KETD flywheel surplus kinetic energy transfer gear. The first computer-controlled module 840 includes a first digital processor and a first transceiver.
The first computer-controlled module 840 using the first digital processor analyses the kinetic energy imparted from the primary kinetic source 700 of
Data is received through a second transceiver from the second operating system. The data provided is processed in the second computer-controlled module 850 where a second digital processor analyses the current kinetic energy needed for the second operation and existing kinetic energy being received to determine if additional kinetic energy is needed or whether the existing kinetic energy being received is more than the current kinetic energy needed creating a surplus of kinetic energy.
The determination of a shortfall or surplus is transmitted in this instance over hard-wired cabling instead of using the second-speed governor 852 installed transceiver. The second-speed governor 852 makes adjustments in the kinetic energy control devices to in one embodiment transfer additional kinetic energy to the second operating system, for example, a braking system through the second-speed governed kinetic energy axle 854.
In another embodiment, a transfer of the surplus kinetic energy from the second operating system to the second speed-governed kinetic energy transfer gear is made through the second speed-governed kinetic energy axle 854. In the latter instance, any surplus kinetic energy obtained from the second operation is transferred from the second speed-governed kinetic energy transfer gear to the KETD flywheel surplus kinetic energy transfer gear.
The KETD flywheel surplus kinetic energy transfer gear is coupled to the third computer-controlled module that is coupled to the KETD flywheel surplus kinetic energy axle. The third computer-controlled module includes a third digital processor and a third transceiver. The third transceiver receives data from the first computer-controlled module 840 and the second computer-controlled module 850. The data received from the two modules are analyzed by the third digital processor to determine where and how much kinetic energy to transfer surplus kinetic energy and how much surplus kinetic energy is coming from the two sources if applicable of one embodiment. The description continues in
To control the speed of the output shaft of the kinetic energy transference device, the gate slows itself until the force desired is measured at the gate output shaft 550. The exact amount of force out the gate output shaft is transmitted to the speed and force control module 560. The speed that forces exit equals the input speed minus the speed of the gate and the slower the gate moves, the faster the output shaft and vice versa 570 of one embodiment.
The carrier gear counterclockwise direction 720 rotates the ring gear 210 of
The force/speed can enter through the input/sun gear 220 of
A first computer-controlled module 840 is electronically coupled to a first-speed governor 842. The first-speed governor 842 is coupled to the kinetic energy transference device (KETD) 100 and to a first-speed governed kinetic energy axle 844. The first speed-governed kinetic energy axle 844 is coupled to an automobile drive train 820 and is a mechanism to control the rate of speed of the automobile drive train 820.
A second computer-controlled module 850 is electronically coupled to a second-speed governor 852. The kinetic energy recovery system 810 determines any excess kinetic energy not needed by the automobile drive train 820. The excess kinetic energy determined is passed through to a second speed-governed kinetic energy axle 854 for transference to an automobile braking system 830 of one embodiment.
A first computer-controlled module 840 is electronically coupled to a first-speed governor 842. The first-speed governor 842 is coupled to the kinetic energy transference device (KETD) 100 and to a first-speed governed kinetic energy axle 844. The first speed-governed kinetic energy axle 844 is coupled to an electric motor/generator load operation system 920 and is a mechanism to control the rate of speed of the electric motor/generator load operation system 920.
A second computer-controlled module 850 is electronically coupled to a second-speed governor 852. The kinetic energy recovery system 810 determines any excess kinetic energy not needed by the electric motor/generator load operation system 920. The excess kinetic energy determined is passed through to a second speed-governed kinetic energy axle 854 for transference to an electric motor/generator unload and speed reduction operation systems 930 of one embodiment.
A first computer-controlled module 840 is electronically coupled to a first-speed governor 842. The first-speed governor 842 is coupled to the kinetic energy transference device (KETD) 100 and to a first-speed governed kinetic energy axle 844. The first speed-governed kinetic energy axle 844 is coupled to devices with large starting energy demand running operation system 1020 and is a mechanism to control the rate of speed of the devices with large starting energy demand running operation system 1020.
A second computer-controlled module 850 is electronically coupled to a second-speed governor 852. The kinetic energy recovery system 810 determines any excess kinetic energy not needed by the devices with large starting energy demand running operation system 1020. The excess kinetic energy determined is passed through to a second speed-governed kinetic energy axle 854 for transference to devices with large starting energy demand starting operation systems 1030 of one embodiment.
Computer-controlled modules process operational data to determine the measured most efficient use of energy for each operation 1150. The measured most efficient use amount of the kinetic energy for each operation is transmitted to the multiple gates or speed governors 1155. The multiple gates or speed governors make adjustments in speed many times a second 1160. Transfer of the measured amount of the kinetic energy for each operation is made through multiple gears and output shafts/drive shafts to serve each operation 1170. Surplus kinetic energy not needed for operations is stored in the flywheel storage system 1180 of one embodiment.
As the disc above rotates, the lobes on the disc cause the actuator to go in and out. By controlling valve 1330 in the actuator 1300, the force needed for the disc to turn increases or decreases. The greater the force applied to the actuator 1300, the equal amount of force exits the carrier of the CVT, and the speed goes with it. This actuator valve can be controlled electronically and adjusted to direct the desired speed or force out the carrier shaft 750 of
The kinetic brake energy 1440 is fed back to the battery 1430. The kinetic energy transference device 100 of
The right panel shows braking 1480 wherein energy from the left electric motor 1412 is conserved in part and kinetic brake energy 1460 is generated. The kinetic energy transference device 100 of
The CVT can recover as much energy as it can deliver as that limit is set by the gate or speed governor 500 of
The CVT includes machine and environmental learning, the CVT system can best direct the most efficient means to either store or immediately use the energy being transmitted through it 1610. Coupling the CVT with a flywheel storage system, or other kinetic or gravitational energy storage system (ESS) improves the efficiency of the ESS due to the properties of providing energy at its most efficient kinetic speed 1620.
The kinetic energy transference device 100 of
Quick recharging of battery systems 1650 is achieved by applying the stored energy in the recharging system on top of the other energy sources. Reducing start-up time with stored energy augmenting normal power consumption also reduces stress on motors of AC compressors and pumps 1660.
Autonomous driving and charging 1670 is improved by reducing energy consumption and applying stored and recovered energy to extend driving time and distance. An autonomous auto can drive itself to the nearest most efficient charging station at times is not desirable for most humans. Using the CVT and its learning systems, the auto can locate, calculate and arrive at the most efficient location to recharge its energy storage systems. At the charging station, the CVT system can determine and direct the energy into the most efficient storage system.
Riders of energy-assisted bicycles 1680 do not need to work as hard as the kinetic energy transference device 100 of
The same is true for electric motorcycles 1690 with reducing energy consumption and applying stored and recovered energy to extend driving time and distance. Because the CVT can very efficiently transmit kinetic energy, systems using weights can be more efficient when employing the CVT to transmit the kinetic energy from the gravitational pull to the electrical generator. The same works in reverse for converting electricity to lift the weight again. In systems like windmills and hydro plants, keeping the energy in kinetic form is more efficient. Utilizing the CVT will increase the net amount of energy from a system by decreasing the amount of loss of energy during the charging and discharging phases. With machine learning, utilizing the CVT to direct where to store the energy will also increase the system’s net efficiency.
The main use of energy for VTOL aircraft 1695 and most aircraft is to get the craft airborne. Current flywheel technology allows more energy density than batteries so using flywheels, coupled with the CVT, can provide better efficiency for the new wave of VTOL and electric aircraft. The high demands of energy for lifting an aircraft into flight mode can be better handled by drawing that energy from flywheels rather than batteries. This lessen the weight needed if that energy had to come from batteries. Most current aircraft designs do not recover energy in the slowing down and landing portions of their flight. With the CVT, prior to landing, the craft can recover energy during the slow down and descent phases of the flight and store that energy in the flywheels to use again during the vertical landing phases. During traditional flights, during the slow down and descent portion of the flight, the aircraft bleeds off speed gradually. This means the energy is being consumed by friction and not recovered. Our CVT will shorten this phase and recover the energy to use during the final landing phase. This will decrease the total flight time and allow passengers to reach their destination quicker and with less total energy needed of one embodiment.
The computerized speed control module measures force and not just speed 1840. Measuring force in addition to speed allows the source to provide energy in the most efficient means 1850. In instances where energy is desired to be recovered, the module controls the gate speed and force to transfer energy from the output shaft back to the source 1860. The module calculates the desired values and makes adjustments many times a second to provide the most efficient use of energy from the source 1870 of one embodiment.
In one embodiment a computer application operating on a mobile device is wirelessly coupled to the continuously variable transmission configured to collect and store on a cloud device vehicle specification, the current cost of fuel, energy volumes being consumed, and quantities of regenerated energy recovered 1900. A user accesses a computer application regarding the user’s vehicle details and current cost of fuel or energy. Fuel or energy may include gasoline, diesel, electricity, H20, or other sources of energy.
Information is gathered from other sources regarding current traffic patterns, weather, and other data that could factor into the computation of costs for a trip. The user enters the destination they desire to transit to. The system identifies the different routes that can be used. The system calculates the estimated costs and timing for each of the different routes.
The computer application displays the different routes, the time that it should take, and the costs for each route. The user can select which route they desire to take. The selection includes the fastest route, cheapest energy route, or a mix of both. The user can either have the vehicle self-drive, if that is an option, or be guided along the route to the destination. Wherein the computer application is further configured to collect information regarding current traffic patterns, maps, weather, and other data factored into an analysis of costs for a trip to a user-selected destination 1910.
A continuously variable transmission coupled to a motor vehicle is configured to recover regenerated energy produced by the continuously variable transmission 1920. An energy control device coupled to the cloud is configured to analyze the cloud-stored data including vehicle specifications, the current cost of fuel and energy volumes being consumed, quantities of regenerated energy recovered, current traffic patterns, maps, weather, and other data factors to determine travel times and a net amount of energy used less the amount of energy regenerated 1930.
The system can also have numerous cameras located at various locations on the vehicle. A display device on the mobile device and/or the vehicle, including a screen in a vehicle and/or on a mobile phone, can display live images from the vehicle cameras and/or the mobile phone camera as augmented reality (AR) image. AR and/or virtual reality (VR) glasses, or other AR or VR devices can be used with an interactive map of the AR and/or VR images. At least one selected route can be visibly displayed and viewed by the user 1940. A selected route interactive map image is visibly displayed on a display device showing the vehicle’s GPS location on the interactive map image to guide the driver.
A program module coupled to a vehicle is configured to display and guide the driver along the most efficient route between two or more destinations 1950. The most efficient route is typically a route that has the shortest travel time and an estimated cost within a predefined range 1955. A selected route interactive map image visibly displayed on a display device can show the vehicle’s GPS location on the interactive map image to guide the driver 1960. A navigation controller of an autonomous self-driving vehicle is coupled to the program module configured to receive the selected route GPS coordinates to guide the vehicle along the selected route 1970 to the destination.
In another embodiment, a continuously variable transmission system for a vehicle includes a continuously variable transmission with plural sensors and is configured to collect vehicle data comprising data vehicle specifications, current cost of fuel, energy volumes being consumed, and quantities of regenerated energy recovered. An energy control device coupled to the plural sensors is configured to analyze the vehicle data to determine a net amount of energy used less the amount of energy regenerated, a preferred travel route and an estimated cost within a predefined range between a user selected first location and at least two other user selected destinations. A navigation controller coupled to the energy control device is configured to navigate the vehicle along the preferred travel route. A display device coupled to the navigation controller is configured to display the estimated cost and the preferred travel route in real-time on an interactive map. A mobile device wirelessly coupled to the energy control device and the navigation controller is configured to display the estimated cost and the preferred travel route in real-time and allow the user to alter the preferred travel route.
This system includes a route cost device coupled to the program module configured to determine if the cost of the travel is worth an anticipated financial gain from the trip, for example, for use by Transportation-as-a-Service (TaaS) drivers (Uber, Lyft, etc.) to help determine if the price being offered is worth accepting a ride. This system can be used by delivery drivers and dispatchers to help determine the most efficient or quickest routes for one or more deliveries. This system can be used by commuters to help determine the most efficient route or time to drive to work. To navigate, guide, and display users’ properties that they may be interested in acquiring or utilizing in some manner. A GPS device to keep track of the location of the vehicle if one is not already accessible on the vehicle. A device can be installed to input and/or collect data such as property details (Photos, videos, specifications), vehicle details (cost, specifications, etc.), and other data that may be relevant in computing costs and usage of energy to transit between locations.
A marketplace can be coupled to the system where property details are hosted and displayed to parties looking to acquire or utilize such and a payment system to manage the transfer of value for transactions in the marketplace. In this embodiment, a user accesses the marketplace via a mobile app or web portal. The user inputs the data regarding the type of property they are looking to acquire or utilize in some manner. The system searches through its database and other available data to identify properties that meet the user’s criteria and compile a list. The user selects which properties they are interested in.
The system plots a course for the different properties. The vehicle can either self-drive to these locations or the user can manually drive and be guided by the system. As the user nears each location, the user can view further details of the properties such as images, videos, virtual tours, or other data that would be relevant. The system can also provide data such as the average cost to commute to work from a selected property. If the user selects a property they wish to acquire or utilize in some fashion, the system can handle the financial aspects of the transaction including document signing and payments. Homebuyers can more easily, and on their time frame, locate and view potential properties without the need for realtors or other parties and without disturbing the current homeowners.
A system for automated and manually driven vehicles is configured to find the most efficient charging stations. For vehicles without the continuously variable transmission, a program module calculates the energy aspects of a vehicle, wherein both use and recovery can be installed. A device to input and/or collect data such as energy cost, temperature, humidity, vehicle details, cost, specifications, etc., and other data that may be relevant in computing costs and usage of energy. An internet connection can be installed to pull data from charging stations regarding their locations, prices, and availability, and a GPS device can be used to keep track of the location of the vehicle.
The autonomous vehicle, including an automobile, aircraft, or other motorized vehicles, can continuously pull data from nearby charging stations. The system monitors the vehicle’s energy supply to calculate the most efficient time to recharge. The system calculates distances and costs to recharge at the available charging station. The system keeps track of normal operations to determine the best times when the vehicle will not be needed in order to schedule a time to recharge.
The system can identify the best place and time to recharge when in autonomous mode. During this mode, the vehicle will navigate to the charging station, recharge, and return. When the system identifies the best place and time to recharge when in manual-driven mode, it will alert the driver of the different options. The driver will select the best option and be guided to the charging station, recharge, and return.
The costs to recharge are different and this system calculates the most efficient means to recharge. If the costs are less at a farther away location, the savings may not justify the distance needed to travel to get to that location. The system keeps track of energy usage and the planned routes to determine when and where to recharge. Delivery vehicles and fleets can benefit from the most efficient times and locations to recharge given their routes and times of operation.
In one embodiment, a continuously variable transmission coupled to a user’s vehicle is configured to recover regenerated energy produced by the continuously variable transmission. A computer application on a user’s mobile device wirelessly coupled to the continuously variable transmission configured to collect and store on a cloud device a user’s vehicle details, the current cost of fuel and energy volumes being consumed, and quantities of regenerated energy recovered. An energy control device coupled to the cloud device is configured to compute and charge the current cost of fuel or energy for a net amount of energy used less than the amount of energy regenerated.
A program module coupled to the energy control device is configured to display and guide the user along the shortest travel time and cost-efficient route between a user’s location and two or more user-selected destinations. An autonomous self-driving vehicle coupled to the program module configured to be guided by the program module along the most efficient route to the destination. A vehicle manually driven coupled to the program module configured to guide the user along the displayed most efficient route GPS coordinates to the destination of one embodiment.
An energy usage limiter coupled to the energy control module is configured to adjustably set the amount of energy that may be used at any given time or distance traveled 2010. The owner enters the web portal for the control module and places limits and sets parameters for the energy used for their vehicle. Wherein the energy control module is further configured during the trip to calculate the amount of energy used and recovered to determine the net energy used 2020.
A plurality of components, energy, and other assets are processed into regenerated energy values 2030. The first component is legal rights to a specific amount or form of energy or other assets 2040. A second component is the fungible value of the asset that produces the energy 2050. A third component is the fungible value of the use of energy or other assets 2060. Other assets include oil and gas, real estate, intellectual property, minerals, and anything that provides value in either its ownership or its use 2070. A plurality of digital tokens represents these components and are recorded on public ledgers including distributed databases 2080 of one embodiment.
The foregoing has described the principles, embodiments, and modes of operation of the present invention. However, the invention should not be construed as being limited to the particular embodiments discussed. The above-described embodiments should be regarded as illustrative rather than restrictive, and it should be appreciated that variations may be made in those embodiments by workers skilled in the art without departing from the scope of the present invention as defined by the following claims.
This application is a continuation-in-part of prior U.S. application Ser. No. 17/829,210, filed May 31, 2022, which is a continuation of prior U.S. application Ser. No. 17/488,020, filed Sep. 28, 2021, and now issued as U.S. Pat. No. 11,345,226, filed by Karin M. Somoza, the U.S. Patent Applications being incorporated herein by reference.
Number | Date | Country | |
---|---|---|---|
Parent | 17488020 | Sep 2021 | US |
Child | 17829210 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 17829210 | May 2022 | US |
Child | 18132957 | US |