{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853476","patent":{"patent_number":"US-9853476","title":"Electronic device and battery charge/discharge control method thereof","assignee":null,"inventors":[],"filing_date":"2015-11-12T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H02J","G06F","G06F","H02J","H02J","H02J","H02J"],"num_claims":27,"abstract":"An electronic device according to various embodiments of the present disclosure includes a rechargeable battery, and at least one processor. The processor generates usage pattern information of the battery based on a charge/discharge state of the battery, and configures charge/discharge information of the battery using the usage pattern information that is used to optimize battery life, operating capability of the battery, or a charge/discharge state that is an optimized tradeoff between such factors."},"analysis":{"summary":"The patent \"Electronic Device and Battery Charge/discharge Control Method Thereof\" (US-9853476) introduces a sophisticated approach to intelligent battery management within electronic devices. At its core, this innovation equips an electronic device, comprising a rechargeable battery and at least one processor, with the capability to dynamically learn and adapt its power handling.\n\nThe central problem it addresses is the inherent trade-off between maximizing a battery's immediate operating capability (performance) and extending its overall lifespan. Traditional battery management often employs static charging profiles that don't account for individual user habits or diverse application demands, leading to suboptimal performance or premature battery degradation.\n\nThe key technical approach involves the processor generating \"usage pattern information\" by continuously monitoring the battery's charge and discharge states. This data-driven understanding of how the battery is used then informs the configuration of optimal charge/discharge parameters. The system can be programmed to prioritize extending battery life, maximizing power output for demanding tasks, or, most innovatively, striking an optimized tradeoff between these competing factors based on learned patterns.\n\nFrom a business perspective, this technology offers significant value. It enables manufacturers to produce devices with demonstrably longer battery lifespans, enhancing customer satisfaction and reducing warranty costs. It opens doors for new product differentiation in competitive markets and fosters sustainability by extending device utility. The market opportunity spans across all sectors reliant on rechargeable batteries, from consumer electronics like smartphones and laptops to electric vehicles, IoT devices, and portable medical equipment, offering a universal solution to a pervasive power management challenge.","layman_explanation":"### What Problem Does This Solve?\n\nImagine you have a company car fleet, and the batteries in those electric vehicles (EVs) are a huge operational cost. Currently, these batteries are charged and discharged based on standard, generic protocols. This often means they're charged to 100% every night, regardless of whether the vehicle will be used for a short delivery run or a long cross-country trip the next day. This 'one-size-fits-all' approach leads to premature battery degradation. Overcharging, frequent full discharges, or rapid charging when not necessary all stress the battery cells, reducing their lifespan and leading to expensive replacements sooner than needed. The business problem is clear: how to extend the life and optimize the performance of expensive rechargeable batteries without constant manual intervention or sacrificing operational readiness.\n\n### How Does It Work?\n\nThe patent, \"Electronic Device and Battery Charge/discharge Control Method Thereof,\" introduces a brilliant solution by giving the electronic device an 'intelligent' battery manager. Think of it like a highly sophisticated personal assistant for your battery. This assistant, a processor within the device, constantly observes and learns your battery's daily routine. It tracks *how* you use the battery: when it's charged, how quickly it drains, what activities consume the most power, and for how long. It builds a detailed 'usage pattern profile.'\n\nOnce it understands these patterns, this intelligent manager doesn't just charge the battery blindly. Instead, it makes smart decisions. For example, if your company car usually does short, local routes, the system might decide to only charge the battery to 80% or 90% overnight. Why? Because keeping a battery at a slightly lower peak charge often significantly extends its overall lifespan, without impacting the daily operational needs. However, if the system predicts a long journey based on your calendar or typical weekly patterns, it will ensure the battery is fully charged and ready for maximum range. It can also prioritize performance – perhaps for a critical delivery that requires peak power – or find a balanced tradeoff between longevity and immediate capability, all autonomously based on learned behavior.\n\n### Why Does This Matter?\n\nThis innovation is a game-changer for any business relying on electronic devices with rechargeable batteries. For manufacturers, it offers a powerful competitive advantage: they can promise and deliver devices with demonstrably longer battery lifespans, leading to higher customer satisfaction and significantly reduced warranty claims related to battery degradation. For fleet operators, it means less frequent and less costly battery replacements, directly impacting the bottom line and improving operational efficiency. The ability to dynamically optimize for longevity or performance means assets can be managed more strategically.\n\nFurthermore, this technology aligns perfectly with growing corporate sustainability goals. By extending the useful life of batteries and devices, it reduces electronic waste and the environmental impact of manufacturing. This can enhance a company's brand reputation and appeal to environmentally conscious consumers and investors. The financial ROI is clear: lower operational costs, higher product value, and a stronger market position.\n\n### What's Next?\n\nThis intelligent battery management system has broad future applications. Beyond consumer electronics and EVs, imagine it in industrial robotics, drones, portable medical equipment, and large-scale energy storage systems. As the 'brain' of the battery, it could integrate with smart grids, optimizing charging based on energy prices or renewable energy availability. The market adoption timeline will likely see early integration in premium consumer devices, followed by rapid expansion into enterprise and industrial sectors where the cost savings and reliability benefits are substantial. For investors, this represents a fundamental improvement in a core technology, promising long-term value creation in the burgeoning battery-powered economy.","technical_analysis":"The \"Electronic Device and Battery Charge/discharge Control Method Thereof\" patent (US-9853476) describes a sophisticated battery management system designed to optimize the performance and longevity of rechargeable batteries within electronic devices. The core technical innovation lies in its adaptive, data-driven approach, moving beyond static charging profiles to dynamic control based on real-time usage patterns.\n\n**Technical Architecture:**\nAn electronic device implementing this invention includes a rechargeable battery and at least one processor. The processor is the central intelligent unit, interfacing with the battery's charging and discharging circuitry (implicitly, via a Battery Management System or BMS controller). This interaction allows the processor to monitor critical battery parameters such as voltage, current, temperature, and state-of-charge (SoC) in real-time. The architecture implies a feedback loop where the processor analyzes data, makes decisions, and then controls the charge/discharge process.\n\n**Implementation Details:**\n1.  **Data Acquisition:** The processor continuously collects data points related to the battery's charge and discharge states. This includes, but is not limited to, the rate of charge/discharge, depth of discharge, duration of charging/discharging cycles, voltage fluctuations during different load conditions, and temperature profiles. This data forms the raw input for pattern generation.\n2.  **Usage Pattern Information Generation:** This is a crucial algorithmic step. The processor employs analytical techniques to derive meaningful \"usage pattern information\" from the acquired data. This could involve:\n    *   **Statistical Analysis:** Calculating averages, variances, and distributions of charge/discharge parameters over time.\n    *   **Time-Series Analysis:** Identifying trends, seasonality, and cyclic behaviors in power consumption (e.g., daily charge cycles, peak usage hours).\n    *   **Machine Learning (ML) Algorithms:** Clustering algorithms (e.g., K-means) could group similar usage behaviors (e.g., 'heavy gamer,' 'office worker,' 'light browser'). Predictive models (e.g., neural networks or regression models) could forecast future power demands or predict optimal charging windows based on historical data and external factors.\n3.  **Charge/Discharge Information Configuration:** Based on the generated usage pattern information, the processor configures the charge/discharge parameters. This configuration is dynamic and aims for specific optimization goals:\n    *   **Optimizing Battery Life:** This typically involves strategies to minimize stress. For Lithium-ion batteries, this might mean limiting the maximum charge voltage to 4.1V instead of 4.2V, avoiding deep discharges, or implementing slower, more controlled charging cycles during non-critical periods. It could also involve intelligent trickle charging or bypassing the battery when plugged in for extended periods.\n    *   **Optimizing Operating Capability:** When peak performance is paramount, the system might ensure the battery is maintained at a higher SoC, prioritize faster charging, or even pre-condition the battery (if hardware allows) to deliver maximum current output.\n    *   **Optimized Tradeoff:** This is the most intelligent mode, balancing the previous two. For example, if usage patterns predict a period of low demand followed by a high-demand event, the system might maintain a charge of 80% for longevity, then quickly top up to 100% just before the anticipated heavy use. This requires robust predictive capabilities and dynamic threshold adjustments.\n\n**Integration Patterns:**\nThe system would integrate tightly with existing BMS hardware. The processor's optimization logic would send commands to the BMS controller, which then physically regulates power flow to the battery. This could involve adjusting charging current regulators, discharge cutoff thresholds, and cell balancing routines. The algorithms would likely run on a dedicated power management IC (PMIC) or a general-purpose microcontroller within the device's System-on-Chip (SoC).\n\n**Performance Characteristics:**\nImplementing this technology can lead to:\n*   **Extended Cycle Life:** By reducing stress factors, the battery can endure more charge/discharge cycles before significant capacity degradation.\n*   **Improved Capacity Retention:** Batteries maintain a higher percentage of their initial capacity over time.\n*   **Enhanced Reliability:** Reduced risk of sudden battery failures due to optimized thermal management and reduced strain.\n*   **Adaptive Efficiency:** Power consumption is managed more efficiently, potentially leading to better overall device runtimes, not just battery longevity.\n\n**Code-level Implications:**\nDevelopers would need to implement complex firmware and software modules. This includes data logging frameworks, pattern recognition algorithms (potentially leveraging embedded ML libraries), and state machines for dynamic charge/discharge profile selection. The system would require robust error handling and fail-safe mechanisms to prevent overcharging or deep discharging in critical scenarios, even if pattern detection fails. The ability to update these algorithms over-the-air (OTA) would also be a significant advantage for continuous improvement and adaptation.","business_analysis":"The \"Electronic Device and Battery Charge/discharge Control Method Thereof\" patent (US-9853476) presents a significant business opportunity by addressing a universal pain point in the electronics industry: battery degradation and suboptimal power management. This innovation moves beyond incremental improvements in battery chemistry, offering a software-driven solution with profound commercial implications.\n\n**Market Opportunity Size:**\nVirtually every electronic device with a rechargeable battery is a potential candidate for this technology. This includes:\n*   **Consumer Electronics:** Smartphones, laptops, tablets, wearables, smart home devices, gaming consoles. The global market for these devices is in the trillions of dollars annually.\n*   **Electric Vehicles (EVs):** Cars, bikes, scooters, drones. Battery longevity and performance are paramount here, directly impacting vehicle value and range anxiety.\n*   **Industrial IoT & Enterprise:** Sensors, robots, portable diagnostic tools, fleet management devices. Uptime and long maintenance cycles are critical.\n*   **Medical Devices:** Portable monitors, infusion pumps. Reliability and predictable performance are life-saving.\n\nThe total addressable market for improved battery management solutions is enormous, spanning consumer, automotive, industrial, and healthcare sectors. The ability to extend battery life by even a modest percentage translates into billions of dollars in saved costs, increased user satisfaction, and reduced environmental impact.\n\n**Competitive Advantages:**\n1.  **Product Differentiation:** Devices incorporating this technology can legitimately claim superior battery longevity and smarter power management, offering a distinct advantage over competitors using generic charging profiles.\n2.  **Reduced Warranty Costs:** A primary driver of warranty claims in electronics is battery degradation. By extending battery lifespan, manufacturers can significantly reduce these costs.\n3.  **Enhanced Customer Satisfaction & Loyalty:** Users are increasingly frustrated by devices that slow down or die prematurely due to battery issues. A device that intelligently manages its power for extended use fosters greater loyalty and positive brand perception.\n4.  **Sustainability & ESG Alignment:** Extending the useful life of devices aligns with growing environmental, social, and governance (ESG) mandates. It reduces electronic waste, appealing to eco-conscious consumers and investors.\n5.  **Data-Driven Insights:** The generation of \"usage pattern information\" can also provide valuable anonymized data to manufacturers about how their products are actually used, informing future design and feature development.\n\n**Revenue Potential & Business Models:**\n*   **Licensing:** The patent holder could license the technology to device manufacturers across various industries, generating substantial recurring revenue.\n*   **Hardware Integration:** Development of specialized power management ICs (PMICs) that embed this intelligence, sold to OEMs.\n*   **Software-as-a-Service (SaaS):** For enterprise or fleet applications (e.g., EV fleets, industrial robots), a subscription model for advanced battery diagnostics and predictive maintenance based on this technology.\n*   **Premium Product Tier:** Manufacturers could offer devices with \"Intelligent Battery Optimization\" as a premium feature, justifying higher price points.\n\n**Strategic Positioning:**\nThis innovation positions companies at the forefront of intelligent hardware and sustainable technology. It allows for a shift from a 'replace and upgrade' cycle driven by battery failure to a 'long-term value' proposition. Companies adopting this can become leaders in product reliability and environmental responsibility. It also opens pathways for partnerships with battery manufacturers to co-optimize battery chemistry with intelligent management systems.\n\n**ROI Projections:**\n*   **For Manufacturers:** ROI would be realized through decreased warranty costs, increased sales due to differentiation, and higher average selling prices (ASPs) for premium models. A 10-20% reduction in battery-related warranty claims alone could yield substantial savings.\n*   **For Consumers:** Longer device lifespan means delayed replacement costs and sustained performance, offering excellent value for money.\n*   **For Investors:** The broad applicability and significant market opportunity suggest strong potential for intellectual property valuation, licensing revenue, and market share gains for companies that successfully integrate this technology.","faqs":[{"answer":"The \"Electronic Device and Battery Charge/discharge Control Method Thereof\" (US-9853476) is a groundbreaking patent that introduces an intelligent system for managing rechargeable batteries within electronic devices. Unlike traditional battery management systems that often use static, one-size-fits-all charging rules, this invention leverages a sophisticated processor to observe and learn the battery's unique usage patterns. This data-driven approach allows the system to dynamically configure optimal charge and discharge parameters.\n\nThe core concept is to move beyond simple power delivery to a proactive, adaptive strategy. The system understands how the battery is being used in real-world scenarios, recognizing specific habits and demands placed upon it. This intelligence enables it to make informed decisions about how best to charge and discharge, ensuring the battery operates under optimal conditions for its specific use case.\n\nUltimately, this technology aims to provide a more efficient, longer-lasting, and higher-performing battery experience. It's about making the battery a 'smart' component of the device, capable of adapting to its environment and user, rather than a passive power source. This patent sets a new standard for intelligent power management in electronic devices.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, intelligent battery management, adaptive charging, patent US-9853476, electronic device power.","question":"What is Electronic Device and Battery Charge/discharge Control Method Thereof?"},{"answer":"The Electronic Device and Battery Charge/discharge Control Method Thereof operates through a two-fold intelligent process. First, an integrated processor within the electronic device continuously monitors the battery's charge and discharge states. This involves collecting real-time data on parameters such as voltage, current, temperature, and depth of discharge. Through advanced algorithms, the processor analyzes this raw data to generate 'usage pattern information.' This means it learns and identifies recurring behaviors – for instance, if the device is typically charged overnight, used heavily for gaming, or left plugged in for extended periods.\n\nSecond, once these usage patterns are established, the processor configures the battery's charge and discharge parameters dynamically. This configuration is tailored to specific optimization goals: extending the battery's overall lifespan, maximizing its immediate operating capability (performance), or achieving an intelligent tradeoff between these two factors. For example, if the system learns that the device is often idle but plugged in, it might subtly reduce the peak charge voltage to minimize stress and prolong life. Conversely, if it predicts a period of high demand, it will ensure the battery is fully charged and ready for peak performance.\n\nThis continuous feedback loop of learning and adapting allows the Electronic Device and Battery Charge/discharge Control Method Thereof to optimize battery usage in a highly personalized and efficient manner, far beyond what static charging methods can achieve.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, battery optimization, usage patterns, processor control, dynamic charging, adaptive power management, US-9853476.","question":"How does Electronic Device and Battery Charge/discharge Control Method Thereof work?"},{"answer":"The Electronic Device and Battery Charge/discharge Control Method Thereof primarily solves the pervasive problem of battery degradation and the inherent conflict between maximizing a battery's immediate performance and extending its long-term lifespan. In conventional electronic devices, batteries are subjected to generalized charging and discharging protocols that do not account for individual user habits or diverse application demands. This 'one-size-fits-all' approach leads to several issues.\n\nFirstly, it accelerates battery aging. Factors like prolonged periods at 100% charge, frequent deep discharges, and high charging rates, when not necessary, stress the battery cells, causing them to lose capacity and health prematurely. This results in devices that slow down, hold less charge, and ultimately require early replacement or costly battery services.\n\nSecondly, it creates a suboptimal user experience. Users often experience frustrating performance dips or unexpected battery drain, as the device isn't intelligently allocating power based on their actual needs. The Electronic Device and Battery Charge/discharge Control Method Thereof addresses these challenges by providing an adaptive, intelligent solution that extends battery life, ensures optimal performance, and offers a smart balance tailored to the device's usage.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, battery degradation, battery life extension, performance optimization, power management problems, user experience, US-9853476.","question":"What problem does Electronic Device and Battery Charge/discharge Control Method Thereof solve?"},{"answer":"The patent \"Electronic Device and Battery Charge/discharge Control Method Thereof,\" identified by US-9853476, does not list specific inventors in the provided abstract. Patent filings often attribute inventions to a team of researchers or engineers, and the detailed inventor list is typically found within the full patent document. The assignee, which is the entity or company to whom the patent rights are assigned, is also not specified in the provided data.\n\nHowever, the nature of this invention suggests it was developed by experts in power electronics, embedded systems, and potentially machine learning or data science. Such innovations usually emerge from research and development departments of major technology companies, academic institutions, or specialized startups focused on energy solutions and intelligent hardware. The collective expertise of these individuals and organizations drives the creation of such complex and impactful technologies.\n\nFor precise details on the inventors and assignee, one would need to consult the full official patent document for US-9853476, which provides comprehensive legal and technical information about the filing.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, patent inventors, patent assignee, US-9853476, power electronics, R&D.","question":"Who invented Electronic Device and Battery Charge/discharge Control Method Thereof?"},{"answer":"The Electronic Device and Battery Charge/discharge Control Method Thereof offers several significant benefits that can transform the user experience and economic viability of electronic devices.\n\nFirstly, and most prominently, it leads to **extended battery lifespan**. By intelligently managing charge and discharge cycles based on usage patterns, the system minimizes the stress factors that typically cause batteries to degrade. This means devices can maintain their capacity and health for a much longer period, reducing the need for premature replacements and contributing to sustainability.\n\nSecondly, it ensures **optimized operating capability**. For tasks requiring peak performance, the system can prioritize power delivery, ensuring the battery is optimally prepared to handle high demands without compromising the device's speed or responsiveness. This eliminates performance bottlenecks often associated with aging batteries.\n\nThirdly, it provides an **intelligent tradeoff** between longevity and performance. The system doesn't force a choice; it dynamically balances these factors based on learned user behavior, delivering the best of both worlds tailored to the specific context. This adaptability offers a personalized and highly efficient power management solution.\n\nFinally, these benefits translate into **reduced warranty costs for manufacturers**, **enhanced customer satisfaction**, and a **stronger competitive advantage** in the market. The Electronic Device and Battery Charge/discharge Control Method Thereof truly makes batteries smarter, leading to better, longer-lasting devices.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, battery benefits, extended lifespan, optimized performance, adaptive control, customer satisfaction, US-9853476.","question":"What are the key benefits of Electronic Device and Battery Charge/discharge Control Method Thereof?"},{"answer":"The Electronic Device and Battery Charge/discharge Control Method Thereof distinguishes itself significantly from prior art in battery management through its adaptive, data-driven intelligence. Traditional methods typically rely on static or generalized charging protocols, such as simply charging to 100% and discharging until empty, or making basic adjustments based on temperature.\n\nPrior art often includes features like simple 'optimized charging' that might hold a charge at 80% overnight, but these are usually based on very limited, pre-programmed patterns. They lack the comprehensive learning and dynamic adaptation that this patent offers. For example, older systems might estimate battery health but rarely use that information to proactively modify charging behavior beyond a warning.\n\nIn contrast, the Electronic Device and Battery Charge/discharge Control Method Thereof continuously generates detailed 'usage pattern information' by monitoring a wide array of battery states in real-time. This allows its processor to understand complex user behaviors and device demands. Based on this deep understanding, it can then dynamically configure charge/discharge parameters to achieve specific, personalized optimization goals – whether that's maximizing lifespan, ensuring peak performance, or finding a smart balance. This proactive, intelligent, and multi-objective optimization sets it apart as a truly adaptive power management system, moving beyond reactive or simplistic controls found in prior art.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, prior art comparison, adaptive vs static charging, intelligent battery management, usage pattern learning, US-9853476, power optimization differentiation.","question":"How is Electronic Device and Battery Charge/discharge Control Method Thereof different from prior art?"},{"answer":"The impact of the Electronic Device and Battery Charge/discharge Control Method Thereof is incredibly broad, extending to virtually any industry that relies on rechargeable batteries. Its ability to intelligently optimize battery life and performance makes it a universal solution for a pervasive challenge.\n\n**Consumer Electronics:** This is perhaps the most immediate and visible impact, affecting smartphones, laptops, tablets, wearables, and smart home devices. Consumers will benefit from longer-lasting gadgets and consistent performance.\n\n**Electric Vehicles (EVs):** The automotive sector, including cars, e-bikes, and drones, stands to gain immensely. Extended battery longevity directly impacts EV resale value, reduces ownership costs, and alleviates 'range anxiety' by ensuring optimal battery health over time.\n\n**Industrial IoT & Enterprise:** Industrial sensors, robotics, portable diagnostic equipment, and fleet management systems require maximum uptime and minimal maintenance. This technology ensures long operational lifespans for critical assets.\n\n**Medical Devices:** Portable medical equipment like monitors and infusion pumps demand predictable and reliable power. Enhanced battery longevity and performance are vital for patient safety and operational efficiency.\n\n**Renewable Energy Storage:** Large-scale and residential energy storage systems can benefit from optimized battery health, extending the life of expensive infrastructure and improving the efficiency of renewable energy integration. The Electronic Device and Battery Charge/discharge Control Method Thereof is a foundational innovation for the future of power across all these sectors.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, industry impact, consumer electronics, electric vehicles, industrial IoT, medical devices, energy storage, US-9853476.","question":"What industries will Electronic Device and Battery Charge/discharge Control Method Thereof impact?"},{"answer":"The patent \"Electronic Device and Battery Charge/discharge Control Method Thereof,\" identified by the number US-9853476, has clear dates associated with its lifecycle. The **filing date** for this patent was **2015-11-12**. This is the date when the patent application was initially submitted to the patent office, marking the official beginning of the patent prosecution process and establishing priority for the invention.\n\nThe **publication date**, which is when the patent was officially granted and published, was **2017-12-26**. This date signifies that the patent office completed its examination, found the claims to be novel, non-obvious, and useful, and officially granted the patent. From this date, the patent holder has exclusive rights to the invention for a specified period, typically 20 years from the earliest filing date.\n\nThese dates are crucial for understanding the timeline of the Electronic Device and Battery Charge/discharge Control Method Thereof's development and its current legal status within the intellectual property landscape. They indicate a relatively swift examination process, highlighting the innovative nature and potential importance of the technology.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, filing date, publication date, patent grant, US-9853476, patent timeline, intellectual property.","question":"When was Electronic Device and Battery Charge/discharge Control Method Thereof filed/granted?"},{"answer":"The commercial applications of the Electronic Device and Battery Charge/discharge Control Method Thereof are extensive, driven by its ability to deliver superior battery performance and longevity across diverse product categories. Any product relying on rechargeable batteries can benefit from this intelligent power management.\n\nIn **consumer electronics**, it means smartphones, laptops, and wearables with demonstrably longer battery health, leading to higher customer satisfaction, reduced warranty claims for manufacturers, and a strong competitive edge. Imagine a device marketed with a 'guaranteed 3-year battery health' feature, directly attributable to this technology.\n\nFor **electric vehicles**, the application is transformative. It can extend the effective range and lifespan of expensive EV battery packs, improving resale value, reducing total cost of ownership, and making EVs more appealing to a broader market. This also enables more accurate predictive maintenance for large fleets.\n\nIn **industrial and enterprise settings**, such as IoT devices, robotics, and portable tools, the Electronic Device and Battery Charge/discharge Control Method Thereof ensures maximum uptime and significantly longer operational periods between battery replacements, leading to substantial cost savings and improved efficiency. This is particularly critical for remote or hard-to-access devices.\n\nBeyond these, **portable medical devices** can achieve higher reliability and consistent performance, crucial for patient care. Even **large-scale energy storage systems** could integrate this intelligence to maximize the return on investment for battery banks. The commercial value lies in increased product lifespan, enhanced performance, reduced operational costs, and a stronger brand reputation for sustainability and innovation.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, commercial applications, consumer electronics, electric vehicles, industrial IoT, medical devices, energy storage, US-9853476, business value.","question":"What are the commercial applications of Electronic Device and Battery Charge/discharge Control Method Thereof?"},{"answer":"The Electronic Device and Battery Charge/discharge Control Method Thereof lays a robust foundation for numerous future developments in intelligent power management. One key area of evolution will be the **integration of more advanced artificial intelligence and machine learning models**. As computational power in devices increases, these models can become even more sophisticated in recognizing nuanced usage patterns and predicting future power demands with greater accuracy. This could involve incorporating external contextual data, such as calendar events, GPS location, and even biometric data, to achieve hyper-personalized battery optimization.\n\nAnother expected development is **distributed intelligence and cloud integration**. Instead of each device operating in isolation, a network of devices could share anonymized usage data with a central cloud-based AI. This would enable collective learning and optimization strategies, potentially allowing devices to adapt to evolving power grids or optimize charging based on renewable energy availability and cost. Imagine smart homes where all batteries communicate to balance load and extend collective lifespan.\n\nFurthermore, future developments might focus on **proactive battery 'healing' or mitigation strategies**. As the system becomes more adept at detecting early signs of degradation, it could implement specific charging protocols designed to slow down or even partially reverse certain degradation mechanisms. This could lead to batteries that not only last longer but actively maintain their health over time. The principles of the Electronic Device and Battery Charge/discharge Control Method Thereof will undoubtedly drive innovations toward truly self-aware and self-optimizing power systems across all electronic devices.\n\nKeywords: Electronic Device and Battery Charge/discharge Control Method Thereof, future developments, AI in battery management, machine learning, cloud integration, smart power systems, battery healing, US-9853476.","question":"What are the future developments expected for Electronic Device and Battery Charge/discharge Control Method Thereof?"}],"topics":["Electronic Device and Battery Charge/discharge Control Method Thereof","battery management patent","US-9853476","intelligent charging","battery optimization","relentless","evolution","portable"],"tech_cluster":null},"seo":{"title":"Electronic Device and Battery Charge/discharge Control Method Thereof - US-9853476","description":"Discover the Electronic Device and Battery Charge/discharge Control Method Thereof patent: intelligent battery management optimizing life, performance, or a smart tradeoff. Full analysis of US-9853476.","keywords":["Electronic Device and Battery Charge/discharge Control Method Thereof","battery management patent","US-9853476","intelligent charging","battery optimization","electronic device power","battery life extension","charge/discharge control","adaptive battery","power management innovation","smart battery technology","patent analysis"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853476","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-9853476","citation_suggestion":"Patentable. \"Electronic device and battery charge/discharge control method thereof\" (US-9853476). https://patentable.app/patents/US-9853476","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853476","json":"https://patentable.app/api/llm-context/US-9853476","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T09:15:52.272Z"}