{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853488","patent":{"patent_number":"US-9853488","title":"Systems and methods for electric vehicle charging and power management","assignee":null,"inventors":[],"filing_date":"2009-07-13T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H02J","G06Q","G06Q","G06Q"],"num_claims":15,"abstract":"Systems and methods for charging electric vehicles and for quantitative and qualitative load balancing of electrical demand are provided."},"analysis":{"summary":"The patent titled \"Systems and Methods for Electric Vehicle Charging and Power Management\" (US-9853488) introduces a critical innovation designed to address the challenges posed by the increasing adoption of electric vehicles (EVs) on existing electrical grids. At its core, this invention provides systems and methods for intelligently managing the charging of electric vehicles to ensure both quantitative and qualitative load balancing of electrical demand.\n\nThe primary problem this patent solves is the potential for grid instability, overloads, and inefficiency caused by uncoordinated, high-power EV charging, especially during peak demand periods. Without smart management, a large number of EVs plugging in simultaneously can strain local and regional power infrastructure, leading to increased costs for utilities and reduced reliability for consumers.\n\nThe key technical approach involves a dynamic and adaptive power management system that monitors real-time grid conditions, predicts demand fluctuations, and then intelligently orchestrates EV charging. This includes adjusting charging rates, scheduling charging events, and potentially incentivizing off-peak charging. The system focuses on both quantitative balancing (managing total power draw) and qualitative balancing (maintaining power quality, such as voltage stability and harmonic reduction).\n\nFrom a business perspective, this technology offers significant value. It enables utilities to manage demand more effectively, defer costly infrastructure upgrades, and integrate renewable energy sources more seamlessly by utilizing EVs as flexible loads. For EV charging network operators, it provides a means to optimize resource allocation, reduce operational costs, and offer more reliable services. The market opportunity is substantial, as the global EV market continues its rapid expansion, creating an urgent need for intelligent grid-friendly charging solutions.\n\nThis invention positions itself as a foundational technology for future smart grids and sustainable transportation ecosystems, offering a robust framework for managing the complex interplay between electric mobility and energy infrastructure.","layman_explanation":"### What Problem Does Systems and Methods for Electric Vehicle Charging and Power Management Solve?\n\nImagine a busy highway. If everyone tries to merge into the same lane at rush hour, you get a massive traffic jam, or worse, accidents. Our electrical grid faces a similar problem with the rapid growth of electric vehicles (EVs). When thousands, or even millions, of EVs plug in simultaneously – typically after work – it creates a sudden, massive surge in electricity demand. This 'rush hour' for electricity can overwhelm local power lines, substations, and even entire regional grids. This leads to costly consequences: utilities have to fire up expensive 'peaker plants' to meet demand, grid reliability can drop, and there's a higher risk of localized outages or brownouts. Existing solutions are often reactive or require massive, expensive infrastructure upgrades, which aren't sustainable in the long run.\n\n### How Does It Work?\n\nThe patent titled \"Systems and Methods for Electric Vehicle Charging and Power Management\" is like implementing a sophisticated traffic management system for electricity. Instead of every EV demanding full power at once, this system intelligently orchestrates the charging process. Conceptually, it works by:\n\n1.  **Listening to the Grid:** It continuously monitors the 'traffic' on the electrical highway – how much power is being used, where capacity is available, and where there might be congestion. It also knows where the 'power sources' (like solar farms or traditional power plants) are and how much energy they're generating.\n2.  **Communicating with EVs:** It talks to the EV charging stations and, in some cases, directly with the vehicles themselves, understanding their charging needs (e.g., 'I need to be fully charged by 7 AM,' or 'I can wait a few hours').\n3.  **Dynamic Allocation:** Based on grid health and EV needs, it dynamically adjusts how much power each EV draws. If the grid is stressed, it might tell some cars to charge a bit slower or wait until later. If there's plenty of power, perhaps from abundant sunshine, it might encourage faster charging. This isn't about stopping charging entirely, but rather optimizing the flow to prevent bottlenecks.\n4.  **Ensuring Quality:** Beyond just the volume of power, this technology also ensures the 'quality' of the power. Just like smooth traffic flow is better than jerky stop-and-go, the system ensures the electricity itself is stable and clean, preventing issues that could harm grid equipment or even the EVs themselves.\n\nIt's a proactive, adaptive system that ensures the entire electrical 'highway' remains fluid and efficient, even with a massive increase in electric 'vehicles.'\n\n### Why Does This Matter?\n\nThis invention is a game-changer for several reasons. Firstly, for utilities, it means significantly reduced operational costs and the ability to defer multi-million dollar infrastructure upgrades. By intelligently managing demand, they can optimize existing assets. Secondly, for charging network operators and EV manufacturers, it provides a crucial selling point: a reliable, grid-friendly charging experience that can scale without causing energy crises. Thirdly, it's vital for integrating renewable energy. EVs, under this system, can become flexible loads that absorb excess wind or solar power when it's abundant, acting as a distributed energy storage solution. This enhances grid stability and accelerates the transition to a greener energy future. The market opportunity is immense, as every country and city embracing EVs will eventually need such sophisticated power management solutions.\n\n### What's Next?\n\nThis patent lays a critical foundation for the future of smart cities and vehicle-to-grid (V2G) technologies. We can expect to see wider adoption of such intelligent charging systems, leading to more resilient and efficient energy ecosystems. Further developments might include even more granular control, advanced predictive analytics powered by AI, and seamless integration with home energy management systems. For investors, this technology highlights a growing sector where innovation in software and control systems will drive significant value, enabling the sustainable growth of the EV market and grid modernization.","technical_analysis":"The patent \"Systems and Methods for Electric Vehicle Charging and Power Management\" (US-9853488) describes a sophisticated technical framework for intelligent load balancing within electrical grids, specifically tailored to manage the dynamic demands of electric vehicle (EV) charging. This innovation goes beyond simple power flow control, delving into both the magnitude and quality of electrical demand.\n\n**Technical Architecture:**\nAt its core, the system comprises a distributed network of EV charging stations interconnected with a central or distributed Power Management Unit (PMU). Each charging station is equipped with capabilities for variable power delivery and local communication. The PMU gathers real-time data from various grid sensors (e.g., smart meters, substation monitors) regarding voltage, current, frequency, and overall load. It also receives information from EVs or users, such as desired charge levels, departure times, and urgency. A robust communication network (e.g., cellular, internet, dedicated smart grid protocols) facilitates this data exchange.\n\n**Implementation Details and Algorithms:**\nThe intelligence of this system lies in its advanced algorithms for load balancing. These algorithms operate on two primary fronts:\n\n1.  **Quantitative Load Balancing:** This addresses the total electrical demand. The PMU employs predictive analytics, often utilizing historical data and machine learning models, to forecast future demand based on factors like time of day, weather, and known EV charging patterns. When a potential demand surge or grid constraint is identified, the algorithms dynamically adjust charging schedules and rates. This might involve:\n    *   **Optimization Algorithms:** Solving for optimal charging profiles that minimize peak demand, reduce electricity costs (by leveraging time-of-use tariffs), or maximize renewable energy consumption, subject to user requirements and grid limits.\n    *   **Prioritization Logic:** Assigning higher priority to urgent charging requests (e.g., low battery, immediate need) while deferring or reducing power to less critical loads.\n    *   **Load Shedding/Shifting:** Strategically reducing power to non-essential loads or shifting charging times to off-peak periods, often through direct control signals to charging stations.\n\n2.  **Qualitative Load Balancing:** This aspect focuses on maintaining the quality of the power supply. Unmanaged EV chargers, particularly those with non-linear characteristics, can introduce harmonics, power factor issues, and phase imbalances. The system addresses this by:\n    *   **Monitoring Power Quality Metrics:** Continuously assessing harmonic distortion, power factor, and phase balance at various grid nodes.\n    *   **Adaptive Control:** If power quality deviates beyond acceptable thresholds, the PMU can issue commands to individual charging stations to adjust their operation (e.g., reducing charging rate, activating power factor correction capabilities if present in advanced chargers) or to other grid-connected devices capable of reactive power compensation.\n    *   **Load Distribution:** Intelligent allocation of charging loads across different phases to maintain system symmetry and reduce localized stress.\n\n**Integration Patterns and Performance Characteristics:**\nThis system is designed to integrate seamlessly with existing grid infrastructure and smart meter networks. It can interface with utility SCADA systems and energy management systems (EMS) to receive real-time grid status and transmit control commands. The performance of this invention would be measured by metrics such as:\n\n*   Percentage reduction in peak demand.\n*   Improvement in power quality indices (e.g., Total Harmonic Distortion (THD), Power Factor).\n*   Increased capacity for EV integration without grid upgrades.\n*   Enhanced utilization of intermittent renewable energy sources.\n*   Minimized charging disruptions for end-users.\n\n**Code-level Implications:**\nImplementing this technology would involve complex software development for the PMU, including data acquisition, real-time processing, optimization algorithms (e.g., linear programming, dynamic programming, heuristic algorithms), and robust communication protocols. Edge computing at charging stations could handle local decision-making and rapid response to grid fluctuations, while cloud-based platforms could manage aggregate data, long-term forecasting, and system-wide optimization. Machine learning would play a significant role in predictive modeling and adaptive control strategies, learning from grid behavior and EV charging patterns over time. The development would likely leverage distributed ledger technologies for secure data exchange and transaction management in a multi-stakeholder environment.","business_analysis":"The patent \"Systems and Methods for Electric Vehicle Charging and Power Management\" (US-9853488) represents a foundational technology with profound business implications across the energy, automotive, and infrastructure sectors. As electric vehicle (EV) adoption accelerates globally, the need for intelligent grid integration solutions becomes paramount, creating a substantial market opportunity for this invention.\n\n**Market Opportunity Size:**\nThe global EV charging infrastructure market is projected to reach hundreds of billions of dollars within the next decade. This patent targets a critical segment within this market: the intelligent management layer that enables seamless, grid-friendly EV charging. The demand for such systems will grow proportionally with EV sales and the increasing penetration of renewable energy. Utilities, charging network operators, fleet managers, and even smart city developers are all potential customers, signifying a multi-billion dollar addressable market for software, hardware, and services built upon this technology.\n\n**Competitive Advantages:**\nThis invention offers several distinct competitive advantages:\n\n1.  **Grid Resilience:** Provides a robust solution for preventing grid overloads and maintaining power quality, a critical concern for utilities facing increasing EV loads.\n2.  **Cost Efficiency:** Enables utilities to defer or avoid costly infrastructure upgrades (e.g., substation enhancements, new transmission lines) by optimizing existing capacity. For charging operators, it can reduce peak demand charges, leading to lower operational costs.\n3.  **Enhanced User Experience:** While managing the grid, the system can still prioritize user needs, ensuring vehicles are charged when needed, even if at a dynamically adjusted rate.\n4.  **Renewable Energy Integration:** Facilitates higher penetration of intermittent renewables by allowing EVs to act as flexible loads, absorbing excess generation when available.\n5.  **Future-Proofing:** Lays the groundwork for advanced functionalities like Vehicle-to-Grid (V2G), positioning adopters at the forefront of energy innovation.\n\n**Revenue Potential and Business Models:**\nCompanies leveraging this patent could explore various revenue streams:\n\n*   **Software-as-a-Service (SaaS):** Offering intelligent charging management platforms to utilities, fleet operators, and large commercial property owners on a subscription basis.\n*   **Hardware Integration:** Licensing the technology for integration into smart chargers, energy management systems, and grid infrastructure components.\n*   **Consulting and Implementation:** Providing expert services for deploying and optimizing these systems for specific use cases.\n*   **Demand Response Programs:** Creating new revenue opportunities for EV owners and charging operators by participating in grid demand response markets, where they are compensated for adjusting charging patterns.\n*   **Data Monetization:** Anonymized data on charging patterns and grid interactions could be valuable for urban planning, energy forecasting, and policy development.\n\n**Strategic Positioning:**\nCompanies that adopt or license this technology can strategically position themselves as leaders in sustainable energy solutions and smart grid development. It allows for differentiation in a crowded EV charging market by offering a 'grid-smart' solution rather than just a charging port. This invention is crucial for entities aiming to be at the nexus of electric mobility and energy infrastructure, enabling them to offer comprehensive, integrated solutions.\n\n**ROI Projections:**\nReturn on Investment (ROI) for utilities could be significant through avoided capital expenditures, reduced operational costs from peak demand management, and enhanced grid reliability. For charging network operators, ROI would come from lower energy procurement costs, increased charger uptime, and the ability to scale operations without compromising grid stability. Early adopters stand to gain first-mover advantage in establishing efficient, resilient, and economically viable EV charging ecosystems.","faqs":[{"answer":"The patent titled \"Systems and Methods for Electric Vehicle Charging and Power Management\" (US-9853488) describes an innovative technological framework designed to intelligently manage the charging of electric vehicles (EVs). Its core purpose is to ensure the stability and efficiency of electrical grids by performing 'quantitative and qualitative load balancing' of electrical demand.\n\nThis means the system doesn't just allow EVs to charge; it actively monitors the health and capacity of the power grid in real-time. Based on this data, and information from the EVs themselves, it dynamically adjusts how much power each vehicle draws and when. This prevents the grid from being overwhelmed by sudden, high demands, which is a growing concern with the rapid increase in EV adoption.\n\nEssentially, this invention acts as a smart conductor for the electricity flowing to EVs, orchestrating charging processes to maintain harmony between energy supply and demand, thereby safeguarding the integrity of the power infrastructure. It's a foundational technology for integrating electric mobility into a resilient and sustainable energy ecosystem. Keywords: EV charging management, grid stability, load balancing, smart grid technology.","question":"What is Systems and Methods for Electric Vehicle Charging and Power Management?"},{"answer":"The Systems and Methods for Electric Vehicle Charging and Power Management patent works through a sophisticated, interconnected system of monitoring, analysis, and control. It begins with comprehensive data acquisition: sensors across the electrical grid (smart meters, substation monitors) provide real-time information on voltage, current, frequency, and overall load. Simultaneously, EV charging stations and potentially the vehicles themselves communicate their needs, such as battery state of charge, desired charge completion time, and user preferences.\n\nThis data is fed into a central or distributed Power Management Unit (PMU) which acts as the 'brain' of the system. The PMU employs advanced algorithms, often utilizing predictive analytics and machine learning, to assess current and forecasted grid conditions against EV charging demands. Based on this analysis, the system dynamically adjusts the charging profiles of individual or groups of EVs. For example, if the grid is under stress during peak hours, it might gently reduce the charging rate for non-urgent vehicles or shift charging to off-peak times. Conversely, if there's abundant renewable energy available, it could accelerate charging.\n\nBeyond just the *amount* of power (quantitative balancing), this technology also focuses on the *quality* of power (qualitative balancing). It monitors for issues like harmonic distortion or voltage fluctuations that can arise from unmanaged charging and takes steps to mitigate them, ensuring a clean and stable power supply. This continuous, adaptive management ensures that EV charging is optimized for both grid health and user convenience. Keywords: dynamic load balancing, real-time grid monitoring, smart charging algorithms, power quality, energy management system.","question":"How does Systems and Methods for Electric Vehicle Charging and Power Management work?"},{"answer":"The primary problem that the Systems and Methods for Electric Vehicle Charging and Power Management patent solves is the strain and instability imposed on existing electrical grids by the rapid, uncoordinated adoption of electric vehicles (EVs). When a large number of EVs plug in simultaneously, especially during peak demand periods (e.g., evenings after work), it creates massive, concentrated surges in electricity consumption.\n\nThis uncontrolled demand can lead to several critical issues: grid overloads, which can cause localized power outages or brownouts; increased operational costs for utilities, as they may need to activate more expensive 'peaker plants' to meet sudden demand; and degradation of power quality, such as voltage fluctuations or harmonic distortion, which can harm grid infrastructure and connected devices. Furthermore, unmanaged EV charging can hinder the efficient integration of intermittent renewable energy sources, as there might not be sufficient flexible demand to absorb excess generation.\n\nThis invention provides a proactive and intelligent solution to these challenges, ensuring that EVs can be charged at scale without compromising the reliability, efficiency, or sustainability of the power grid. It transforms a potential burden into a manageable, flexible load. Keywords: grid strain, peak demand, EV adoption challenges, power grid instability, energy efficiency, renewable integration.","question":"What problem does Systems and Methods for Electric Vehicle Charging and Power Management solve?"},{"answer":"The patent for Systems and Methods for Electric Vehicle Charging and Power Management (US-9853488) was filed in 2009. While the patent document itself lists the inventors, this information is not provided in the prompt's data. However, the assignee, which is typically the company or institution that owns the patent rights, is also not specified in the provided data.\n\nIn the context of patent law, the inventors are the individuals who conceived the inventive subject matter, while the assignee is the legal entity to whom the inventors have transferred their rights. This distinction is important for understanding ownership and commercialization pathways.\n\nRegardless of the specific individuals or entity, the innovation itself reflects a forward-thinking anticipation of the challenges that widespread electric vehicle adoption would pose to global energy infrastructure. The insights captured within this patent demonstrate a deep understanding of both power systems engineering and the emerging needs of electric mobility. Keywords: patent inventors, patent assignee, US-9853488, invention origin, patent ownership.","question":"Who invented Systems and Methods for Electric Vehicle Charging and Power Management?"},{"answer":"The Systems and Methods for Electric Vehicle Charging and Power Management patent offers a multitude of key benefits that extend across utilities, EV owners, and the broader energy ecosystem. Firstly, and crucially, it significantly enhances **grid stability and resilience**. By dynamically balancing electrical loads, it prevents overloads during peak demand periods, reducing the risk of blackouts, brownouts, and costly infrastructure damage. This ensures a more reliable power supply for everyone.\n\nSecondly, it drives **cost efficiency**. For utility companies, intelligent load balancing can defer or even eliminate the need for expensive infrastructure upgrades (e.g., new substations or transmission lines) that would otherwise be required to handle unmanaged EV demand. For charging network operators, it can reduce peak demand charges, leading to lower operational costs and potentially more competitive pricing for consumers. EV owners may also benefit from lower electricity bills by participating in programs that incentivize off-peak charging.\n\nThirdly, this technology fosters **seamless integration of renewable energy sources**. EVs, managed by this system, can act as flexible loads, absorbing excess solar or wind power when it's plentiful and cheap. This maximizes the utilization of clean energy, reduces curtailment, and accelerates the transition to a greener energy mix. Lastly, it lays the **foundation for future innovations** like Vehicle-to-Grid (V2G), where EVs can contribute power back to the grid, transforming them into active assets rather than just consumers. Keywords: grid resilience, cost savings, renewable energy integration, V2G potential, energy efficiency, smart charging benefits.","question":"What are the key benefits of Systems and Methods for Electric Vehicle Charging and Power Management?"},{"answer":"The Systems and Methods for Electric Vehicle Charging and Power Management patent distinguishes itself from prior art by offering a more comprehensive, dynamic, and integrated approach to grid management, specifically tailored for electric vehicle (EV) charging. Earlier grid management techniques, such as traditional demand-side management (DSM) programs, often involved static time-of-use tariffs or blunt direct load control for large appliances. These methods lacked the granularity, real-time responsiveness, and EV-specific optimization that this invention provides.\n\nOne key differentiator is its dual focus on **quantitative and qualitative load balancing**. While prior art might have addressed the *amount* of power (quantitative), this patent explicitly includes managing the *quality* of power (qualitative), such as mitigating harmonics and maintaining voltage stability. This holistic approach ensures not only that the grid isn't overloaded but also that the power delivered is clean and stable, protecting infrastructure and connected devices.\n\nFurthermore, this invention employs **dynamic, adaptive optimization** across a network of charging stations, rather than just simple, isolated scheduling. It leverages real-time grid data, predictive analytics, and EV-specific needs to make continuous adjustments, a significant advancement over more reactive or less integrated systems. This network-wide orchestration, coupled with its foundational principles, also positions it as a crucial enabler for advanced Vehicle-to-Grid (V2G) capabilities, which were largely beyond the scope of most prior art. Keywords: patent differentiation, prior art comparison, dynamic load balancing, power quality management, EV smart charging, V2G enabling technology.","question":"How is Systems and Methods for Electric Vehicle Charging and Power Management different from prior art?"},{"answer":"The Systems and Methods for Electric Vehicle Charging and Power Management patent holds the potential to significantly impact several key industries, driving innovation and efficiency across the energy and transportation sectors. The most direct impact will be on **Electric Utilities and Grid Operators**. This technology provides them with the tools to intelligently manage the increasing load from EVs, ensuring grid stability, deferring costly infrastructure upgrades, and optimizing their existing assets. It's essential for modernizing the grid and integrating distributed energy resources.\n\n**Electric Vehicle (EV) Manufacturers and Charging Network Operators** will also be profoundly affected. For manufacturers, integrating this technology could enhance the 'grid-friendliness' of their vehicles, offering a competitive advantage and potentially enabling future Vehicle-to-Grid (V2G) functionalities. Charging network operators can leverage this system to optimize their energy procurement, reduce operational costs by avoiding peak demand charges, and provide more reliable and efficient charging services to their customers, facilitating network expansion.\n\nBeyond these core sectors, the patent will influence **Smart City Developers**, enabling them to design more resilient and sustainable urban energy infrastructures. **Energy Management System Providers** for commercial and residential buildings can integrate these principles to create holistic energy solutions. Ultimately, by ensuring the seamless and sustainable integration of EVs into our energy systems, this innovation contributes to the broader goals of **sustainable transportation and climate action**. Keywords: energy industry impact, utility sector, EV manufacturing, charging infrastructure, smart cities, sustainable transportation, grid modernization.","question":"What industries will Systems and Methods for Electric Vehicle Charging and Power Management impact?"},{"answer":"The patent titled \"Systems and Methods for Electric Vehicle Charging and Power Management\" (US-9853488) has a notable timeline in its journey through the patent process. It was **filed on July 13, 2009**. This filing date is significant as it demonstrates a forward-thinking vision, anticipating the massive growth of electric vehicles and the associated grid challenges long before they became widely apparent.\n\nAfter a thorough examination process by the patent office, the patent was subsequently **published and granted on December 26, 2017**. The period between filing and grant often reflects the complexity of the invention, the examination process, and any amendments made during prosecution.\n\nThe grant date marks the point at which the legal rights to the invention are secured, providing the patent holder with exclusive rights to make, use, and sell the invention for a specified period. This timeline underscores the long-term strategic value and foresight embedded in the development of such critical energy management technologies. Keywords: patent filing date, patent publication date, US-9853488 timeline, patent grant, invention history.","question":"When was Systems and Methods for Electric Vehicle Charging and Power Management filed/granted?"},{"answer":"The commercial applications of the Systems and Methods for Electric Vehicle Charging and Power Management patent are extensive and diverse, spanning the entire electric vehicle and energy ecosystem. One primary application is in **Utility-Scale Demand Management**. Utilities can deploy systems based on this patent to intelligently manage the aggregated demand from EVs across their service territories, preventing grid overloads, reducing peak demand charges, and optimizing the use of existing infrastructure, thereby saving significant operational and capital costs.\n\nAnother key application is for **EV Charging Network Operators**. Companies running public or private charging stations can utilize this technology to optimize energy procurement by charging during off-peak hours or when renewable energy is abundant, leading to lower operating expenses. They can also offer dynamic pricing models to incentivize grid-friendly charging behavior from their customers, enhancing service reliability and profitability.\n\nFurthermore, the patent's principles are highly applicable in **Fleet Management Solutions**. Businesses operating large fleets of electric vehicles (e.g., delivery services, public transport, logistics) can use such systems to ensure all vehicles are charged efficiently by their departure times without straining their local grid connection. This optimizes fleet readiness and reduces energy costs. Lastly, it forms the basis for **Smart City Infrastructure** and **Vehicle-to-Grid (V2G) services**, enabling EVs to become active participants in grid stability, potentially selling power back to the grid during high demand, thereby creating new revenue streams and enhancing urban energy resilience. Keywords: commercial applications, utility demand management, EV fleet management, charging network optimization, V2G services, smart city infrastructure, energy market.","question":"What are the commercial applications of Systems and Methods for Electric Vehicle Charging and Power Management?"},{"answer":"The Systems and Methods for Electric Vehicle Charging and Power Management patent lays a robust foundation for numerous future developments in intelligent energy management and electric mobility. One major area of expectation is the deeper integration with **Artificial Intelligence and Machine Learning (AI/ML)**. Future systems will likely leverage advanced AI for more sophisticated predictive analytics, anticipating grid conditions and EV demand with even greater accuracy, enabling truly self-optimizing and adaptive control strategies. This could include reinforcement learning models that continuously learn from grid behavior and optimize long-term outcomes.\n\nAnother significant development will be the expansion into **Vehicle-to-Grid (V2G) and Vehicle-to-Home (V2H)** functionalities. Building upon the intelligent load balancing principles, future iterations will enable EVs not only to draw power but also to feed excess energy back into the grid or supply power to homes during outages, effectively turning parked EVs into mobile energy storage assets. This will transform EVs into active participants in grid stability and resilience.\n\nWe can also anticipate enhanced **interoperability and standardization**, allowing for seamless communication and control across diverse EV models, charging hardware, and utility systems. This will be crucial for widespread adoption and the creation of a truly interconnected energy ecosystem. Finally, the integration with **blockchain and distributed ledger technologies** could enable secure, transparent, and decentralized energy trading between EVs, charging stations, and the grid, fostering new transactive energy markets. These developments will push the boundaries of what's possible in sustainable energy and smart infrastructure. Keywords: future EV charging, AI in energy, V2G development, smart grid evolution, energy interoperability, blockchain for energy, sustainable mobility.","question":"What are the future developments expected for Systems and Methods for Electric Vehicle Charging and Power Management?"}],"topics":["electric vehicle charging","power management","load balancing","smart grid","EV infrastructure","widespread","adoption","electric"],"tech_cluster":null},"seo":{"title":"Systems and Methods for Electric Vehicle Charging and Power Management - Patent US-9853488","description":"Discover the Systems and Methods for Electric Vehicle Charging and Power Management patent, a groundbreaking system for intelligent EV charging and grid load balancing. Explore technical analysis and business impact.","keywords":["electric vehicle charging","power management","load balancing","smart grid","EV infrastructure","energy optimization","patent US-9853488","grid stability","demand response","EV technology","sustainable energy","quantitative load balancing","qualitative load balancing"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853488","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9853488","citation_suggestion":"Patentable. \"Systems and methods for electric vehicle charging and power management\" (US-9853488). https://patentable.app/patents/US-9853488","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853488","json":"https://patentable.app/api/llm-context/US-9853488","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T11:39:06.450Z"}