Deep Learning for Optimization of Power & Energy Management System in Hybrid Electric Vehicles

Complete Specification Claims:1. An electric vehicle (EV) routing technique, which consists of one or more specially programmed computers with artificial intelligence expert battery power system management and route selection optimization control, is used from a present location to a target; including This approach includes: Specifically programmed computer machinery, a storage step in electronic memory, including the code for battery energy and route optimization, battery energy and route selection optimization parameter definitions, including parameters set of battery energy and route selection sub-parameter definitions a step of storing one or more specially programmed computer machines in the electronic memory, one or more of which: descriptive information of EV, electronic energy needs, information for the EV battery specification and the present position of the EV and the location of its destination; the condition of the EV stored battery energy is monitored and recorded in the electronic memory of a specially designed computer machine; 2. The Claim 1 method uses a single or more specifically programmed computer machine located within EV with artificial intelligence system expert battery energy control and route selection optimization control to analyze artificial intelligence system experts for a particular route. 3. Claim one method wherein a specific cloud-based or remote computer/data processing systems with artificial intelligence system battery management and route optimization management systems are carried out in these steps of assessing and selecting artificial intelligence experts for the specific route of travel. 4. The procedure of claim 1, in which the descriptive information provided by the communicated EV consists of one or more of the following: The kind of vehicle, the weight of the vehicle loaded, and the history of vehicle energy needs. 5. The Claim 1 technique, wherein the specification information on the sent EV battery includes one or more of this information: Type of battery; battery capacity; requirements to charge the battery; battery aging life; battery charge time. 6. Claim one method wherein such selection parameters define the expected total traveling time from the EV current location to the destination for each potential EV route, including battery charging or replacement times and the total anticipated energy required to travel from the actual location desired destination. , Description:This innovation usually concerns the Hybrid Deep learning based architecture for analysis of the charging profile of Electric Vehicles. DISCUSSION OF THE PRIOR ART: Electric vehicles (EVs) are becoming more important because (a) they give more miles a fee, (b) assist utilities shave high demand, (c) decrease pollution in the environment, and (d) cut costs a mile. Many of the latest EVs today can go on a single charge over 200 kilometers. The premium Tesla Model S is available on-demand for as much as 370 miles. The market penetration of extended EVs encourages EV travel through networks that various utilities may service. Consequently, a roaming charging infrastructure is necessary. Roaming refers to the ability of an EV driver to obtain an EV charging service during EV long-distance travel utilizing loading stations which are not only part of the Home Utility (HUN) network, but which also have the same rights as they would have in a (Virtual Utility Network) VUN. For instance, these advantages may include getting the reduced EV rate based on a long-term driver’s commitment to HUN or the proximity to premium fees, depending on their entry into a loyalty program with the HUN, for a gold, diamond, or platinum customer, etc. Thus, even if they leave their HUN's service jurisdictions, this client receives reduced and premium services. In addition, an EV driver receives one bill with the HUN customer account number with the infrastructure enabled by roaming. Roaming services require (a) new operating bodies to be established; (b) new communications interfaces to be developed; (c) charging station improvements; (d) contractual agreements among participating utilities to provide agreed charging services to the customer while maintaining consumer confidentiality, confidentiality, and security; (d) a contractual agreement to be concluded between them. This innovation idea proposes a Hybrid AI and blockchain architecture to analyze the charging profile of Electric Vehicles. Blockchain technology has been specially created for Bitcoin; bitcoin is the first blockchain application to function. However, blockchain has many uses outside just cryptocurrency networks which may change the way we operate. Figure 1 illustrates the players in question. The following paragraphs highlight some of each participant's advantages to using Blockchain technology to charge roaming EVs for billing architecture. 1. EV Owners: roaming or roaming based on the blockchain has many advantages for the owners of EVs. For instance, roaming blockchain-enabled avoids having multiple subscriptions, cards, credit cards, and gift cards for networks billing. It also lowers transaction charges since a third-party management organization is not involved in blockchain. The combination of AI and blockchain also offers openness, fairness, and billing security. It also provides a single/unified payment option, regardless of where the charge is requested. It also allows the customers to offer premium services such as previous charge billing, reduced rates, and pre-booking fees for specific consumers. 2. Utility sector: Blockchain-based roaming has revolutionary potential in the utility industry. It has a significant benefit for revenue, a core performance indicator (KPI) of utility firms. Blockchain-enabled roaming also gives the services the freedom for selecting the best roaming partners, thereby promoting competition and increasing consumer confidence and retention. It is also a decentralized platform for energy trade and distributed data storage. In addition, it offers a robust security architecture since the whole blockchain system has encryption algorithms to secure it. The connection with AI ensures that the money is distributed fairly. 3. Charging of infrastructure providers: AI also has several advantages for charge providers to incorporate blockchain roaming. Charging infrastructure may comprise property and charging equipment, often known as the supply of electric vehicles (EVSE). It provides the transaction's accuracy, transparency, traceability, and immutability, challenging to accomplish in conventional central charging stations. An integrated blockchain-based roaming system will build confidence in e-powered owners for the available battery charge and the battery exchange in particular, as the network will save operational history, including battery health and lifecycle information, permanently and will make it visible to all players, such as e-power, charging/swapping stations as well as to the electric utility industry. ELECTRIC VEHICLE FOR ROUTING INSPECTION OF POWER TRANSMISSION LINES Publication number: 20170117690 An electric vehicle for routing inspection of power transmission lines, includes a body; a running mechanism mounted to the body, comprising a front wheel and a rear-wheel connected by a cross beam and rolling on the cable; an obstacle sensor and a cam rotatably mounted to the cross beam, the cam rotating to move onto the line after an obstacle is detected on the cable such that the front wheel is raised to a position above the cable, and the cam continuing rolling on the cable after the front wheel passes the obstacle such that the front portion of the cross beam falls back downwards and the front wheel then falls back onto the cable, a hanging seat rotatably hanging to the body and a control device at least partially disposed of in the hanging seat and comprising a braking device. Type: Application Filed: December 15, 2015 Publication date: April 27, 2017 Applicants: State Grid Corporation of China, Wuxi Electric Power Company of Jiangsu Electric Power Corporation Inventors: Liping HUANG, Xu WENG, Haiping SHEN, Wenjun JIANG, Ting LIU, Kai LUI, Pan TANG, Hongjun CHEN ELECTRIC VEHICLE ROUTING SYSTEM Patent number: 10976170 An electric vehicle routing system comprising a route determination module configured to receive, via a graphical user interface (GUI) module, user input data defining, for the desired journey of a vehicle in which the vehicle routing system is installed, a start location in a road network, a destination location in the road network, and at least one waypoint in the road network. Based on the received user input data, data received from a vehicle battery status monitoring module, data retrieved from a road network storage database, and data retrieved from a charging network storage database, the route determination module determines at least one route in the road network from the start location to the destination location via the at least one waypoint. It transmits data associated with at least one determined route to the GUI module. Type: Grant Filed: July 26, 2018 Date of Patent: April 13, 2021 Assignee: Morgan Brown Consultancy Ltd. Inventor: David Morgan-Brown HARNESS ROUTING STRUCTURE FOR ELECTRIC VEHICLE ROUTING SYSTEM ELECTRIC VEHICLE Patent number: 9827923 An electric vehicle harness routing structure is provided for an electric vehicle having an electric motor as a drive source, a control device to control the electric motor as well as charging of a battery for power supply to the electric motor, and a power unit elastically supported on a vehicle body. The harness routing structure includes a charging port, a quick charging harness, a standard charging harness, a first quick-charge harness clip, a second quick-charge harness clip, a first normal-charge harness clip, and a second normal-charge harness clip. The pins of the electric vehicle harness routing structure are provided. When connecting a relatively movable power unit and charging ports with the quick charging harness and the standard charging harness, it is possible to prevent interference between the charging tackles. Type: Grant Filed: March 1, 2013 Date of Patent: November 28, 2017 Assignee: Nissan Motor Co., Ltd. Inventors: Shinichi Matano, Kenji Iino, Masahiro Onishi ELECTRIC VEHICLE EXCHANGE MANAGEMENT Publication number: 20170146354 Managing an electric vehicle exchange is provided. An available electric vehicle with the highest exchange score is selected to perform a conversation at a charging chosen station with another electric vehicle with an insufficient battery charge level to reach a travel destination of another electric vehicle. In response to determining that a current battery charge level of the available electric vehicle is sufficient to reach the travel destination of another electric vehicle, it is determined whether the exchange will allow the available electric vehicle to reach a travel destination of the available electric vehicle. In response to determining that the exchange will allow the available electric vehicle to reach the travel destination of the available electric vehicle, routing information is sent via a network to a navigation system of the available electric vehicle to the selected charging station. Type: Application Filed: November 25, 2015 Publication date: May 25, 2017 Inventors: Gregory J. Boss, Rick A. Hamilton, II, James R. Kozloski, Brian M. O'Connell, Clifford A. Pickover VEHICLE ROUTING Publication number: 20190316924 An electric vehicle routing system comprising a route determination module configured to receive, via a graphical user interface (GUI) module, user input data defining, for the desired journey of a vehicle in which the vehicle routing system is installed, a start location in a road network, a destination location in the road network, and at least one waypoint in the road network. Based on the received user input data, data received from a vehicle battery status monitoring module, data retrieved from a road network storage database, and data retrieved from a charging network storage database, the route determination module determines at least one route in the road network from the start location to the destination location via the at least one waypoint. It transmits data associated with at least one determined route to the GUI module. Type: Application Filed: July 26, 2018 Publication date: October 17, 2019 Inventor: David MORGAN-BROWN PRESENTING ROUTING INFORMATION FOR ELECTRIC VEHICLES Publication number: 20150226567 Systems and methods for identifying available charging stations (e.g., charging stations available to be used by an electric vehicle) and determining travel routes for electric vehicles are described. In some embodiments, the systems and methods receive a request to find an available charging station, determine a state of charge for an electric vehicle associated with the request, identifies one or more available charging stations located within a suitable distance to the electric vehicle, the suitable distance based on the determined state of the charge for the electric vehicle, and present information to the electric vehicle, or an associated mobile device, that indicates the identified charging stations. Type: Application Filed: February 6, 2015 Publication date: August 13, 2015 Inventors: Forrest NORTH, Lucas Manfield, Armen PETROSIAN, Nick WILD In this respect, before explaining at least one object of the invention in detail, it is to be understood that the invention is not limited in its application to the details of the set of rules and the arrangements of the various models outlined in the following description or illustrated in the working examples. The invention is capable of other objects and of being practiced and carried out in various ways, according to the need of that industry. Also, it is to be understood that the phraseology and terminology employed herein are for description and should not be regarded as limiting. While the present invention is described herein by example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the images of drawing or drawings described and are not intended to represent the various scale components. Further, some features that may form a part of the invention may not be illustrated in specific figures for ease of illustration. Such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed descriptions are not intended to limit the invention to the particular form disclosed. Still, on the contrary, the story is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout In this description, the word "may" is used in a permissive sense (i.e., meaning having the potential to) rather than the mandatory reason (i.e., meaning must). Further, the words "a" or "an" mean "at least one," and the word "plurality" means "one or more" unless otherwise mentioned. Furthermore, the terminology and phraseology used herein are solely for descriptive purposes. They should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed after that, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the words "including" or "containing" for applicable legal purposes. Any discussion of documents, materials, devices, articles, and the like are included in the specification solely to provide a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention. In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase "comprising," it is understood that we also contemplate the same design, component or group of elements with transitional words "consisting of," "consisting," "selected from the group of consisting of, "including," or "is" preceding the recitation of the composition, element or group of elements and vice versa. The present invention is described from various embodiments concerning the accompanying drawings. Reference numerals used in the accompanying drawing correspond to the like elements throughout the description. However, this invention may be embodied in many different forms. It should not be construed as limited to the embodiment set forth herein. Instead, the image is provided so that this disclosure will be thorough and complete and fully convey the invention's scope to those skilled in the art. The following detailed description provides numeric values and ranges for various aspects of the implementations described. These values and ranges are treated as examples only and are not intended to limit the claims' scope. Also, several materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the invention's scope. SUMMARY OF THE PRESENT INVENTION: The present ideas concern electric vehicle (EV) routing systems and techniques from a current location to a destination. Systems and techniques include specially designed computer machines with battery energy management and track control systems skilled in artificial intelligence. The battery power and route guiding parameter definitions in the electronic memory of one or more specially programmed computer machines, including the range of parameter values and subsets of those specified ranges. Expert system propositional logic statements establishing connections between battery power parameters and route guiding parameters based on the parameter membership of these subset ranges are also maintained in these machines. EV drivers will be encouraged to travel across networks of different utility jurisdictions via EVs' increased travel range. Thus, we propose an AI and blockchain integrated billing architecture to charge electric roaming cars because of the appealing characteristics of blockchain technology and its users. All the participants profit from the suggested arrangement. BRIEF DESCRIPTION OF THE DRAWINGS A more particular description will be rendered by referencing specific embodiments illustrated in the appended drawings to clarify various aspects of some example embodiments of the present invention. It is appreciated that these drawings depict only illustrated embodiments of the story and are therefore not considered limiting its scope. The design will be described and explained with additional specificity and detail through the accompanying drawings. So that the advantages of the present invention will be readily understood, a detailed description of the story is discussed below in conjunction with the appended drawings, which, however, should not be considered to limit the scope of the invention to the accompanying drawing. Further, another user interface can also be used with the relevant modification to provide the results above with the same modules, its principal, and protocols for the present invention. It is to be understood that the above description is intended to be illustrative and not restrictive. For example, the above-discussed embodiments may be used in combination with each other. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description. The benefits and advantages which the present invention may provide have been described above about specific embodiments. These benefits and advantages and any elements or limitations that may cause them to occur or become more pronounced are not construed as critical, required, or essential features of any or all of the embodiments. While the present invention has been described concerning particular embodiments, it should be understood that the images are illustrative and that the invention's scope is not limited to these embodiments. Many variations, modifications, additions, and improvements to the embodiments described above are possible. It is contemplated that these variations, changes, additions, and improvements fall within the invention's scope. We propose a comprehensive design of the system, as shown in Figure 2. The design is categorized as "Blockchain Overlay Network" and "Functional entities." The functional entities are I upgraded charging stations, (ii) a roaming Gateway/Router node (R-GW/R), (iii) a consumer-profile database for Authentication, Authorization, and Accounting (AAA), (iv) charging rules and policy (CRP). A communication protocol and consortium blockchain code are provided in the blockchain overlay network. We initially suggest a unique customer identification number to understand the roaming framework (CIN). A CIN is a sequence of digits that is structured and standardized to differentiate between functional entities engaged in this architecture and services connected with the CIN. For example, the first portion of a CIN identifies the AAA node in the HUN to establish a communication connection between the charging station and the AAA node. The AAA node to verify the customer is used for the second half of the CIN and to acknowledge the services connected with the number. The function of Enhanced Charging Station: Improved charging stations include standard characteristics for enabling blockchain-based charging and EV recharge. Every charging station has a unique, addressable ID and supports the Internet of Energy, i.e.; it manages both energy flow and information. Energy flows between the electronic power supplier and the serving supplier through the service charge station. In contrast, information flows from the service charge station to the cloud via the HUN and the VUN. The charging stations are supplied with an option to receive user information (for example, CIN, customer loyalty number) and other numbers, including customer subscription and service information. The charging stations are provided with a visual user interface. A dial pad may be used as a graphical user interface; the magnetic card reader can be read by a scanner, the IC chip reader, the RFID, or an NFC reader, which can read the cards wirelessly. The card provided by their HUN to the EV drivers may display user information. It may also be viewable by people/machines. The function of Authentication, Authorization, and Accounting (AAA) Node: The proposed AAA node has three tasks. (a) Authenticating consumers, (b) authorizing the consumer to use the requested service, and (c) accounting tracking payment methods. The suggested AAA node is based on three functions. This may be accomplished via several methods for payment, including debit card/real-time, credit card, advance payment, and post-payments. The bitcoin option offers a safe, straightforward, and cost-effective alternative for consumer convenience because the service fees are eliminated. In addition, it is easier to pay the business directly than to use a payment gate. When the AAA node is authenticated and approved, it sends a message through R-GW/Router to the charging station to start charging the EV battery. The AAA and the charging station may exchange numerous messages while charging to ensure that the EV obtains the service requested and charges the client appropriately. For data analysis reasons, the utilities may also collect information from the AAA node. Accounting data, for example, may also be utilized for auditing, trend analysis, capacity planning, the charging service provided, charging volume, time of use, etc. In addition, authentication and permission information for authentication error analysis attempts to use illegal services, verify procedural accuracy, etc. Consumer Profile Database: Every participating utility network has a newly planned customer profile database. The HUN consumer profile (HCPD) databases include a subscription profile to the consumer service and the VUN consumer profile database (VCPD), which includes the consumer service visitor's subscription profile. The HCPD data are permanent, whereas the VCPD records, retrieved from and kept on the VCPD, are temporarily removed if the EV driver is believed not to be in the VUN anymore. Figure 2 also displays the CRP, HCPD, and VCPD communication interfaces. These are designed to differentiate visiting consumers from home customers based on their CIN and thus offer tailored services.