Battery Management System in Portable Electronics: Optimization
MAR 20, 20269 MIN READ
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Battery Management System Background and Optimization Goals
Battery Management Systems have emerged as critical components in portable electronics, evolving from simple voltage monitoring circuits in early mobile devices to sophisticated multi-parameter control systems in today's advanced smartphones, tablets, and wearable devices. The historical development began in the 1990s with basic charge controllers for nickel-based batteries and has progressed through lithium-ion adoption to current intelligent systems incorporating machine learning algorithms and predictive analytics.
The technological evolution reflects the increasing complexity of portable devices and their power requirements. Early BMS implementations focused primarily on preventing overcharging and deep discharge conditions. However, modern portable electronics demand precise power management to support high-performance processors, advanced displays, wireless communication modules, and multiple sensors operating simultaneously while maintaining compact form factors and extended operational periods.
Contemporary BMS architectures integrate multiple subsystems including cell balancing circuits, thermal management, state estimation algorithms, and communication interfaces. The transition from analog to digital control systems has enabled real-time monitoring of battery parameters such as voltage, current, temperature, and impedance, facilitating more accurate state-of-charge and state-of-health predictions.
The primary optimization goals for BMS in portable electronics center on maximizing battery utilization efficiency while ensuring safety and longevity. Energy efficiency optimization targets minimizing power losses during charging and discharging cycles through advanced switching topologies and adaptive control algorithms. Battery life extension represents another crucial objective, achieved through optimal charging profiles, cell balancing strategies, and thermal management protocols that reduce degradation mechanisms.
Performance optimization encompasses fast charging capabilities without compromising battery health, accurate fuel gauging for reliable user experience, and dynamic power allocation based on application requirements. Safety optimization remains paramount, involving protection against thermal runaway, overcurrent conditions, and voltage anomalies through multi-layered monitoring and fail-safe mechanisms.
System integration optimization focuses on minimizing BMS footprint and power consumption while maintaining functionality, enabling seamless integration with device power management units and operating system power policies. Advanced optimization targets include predictive maintenance capabilities, adaptive learning from user patterns, and intelligent power scheduling to maximize device availability and user satisfaction.
The technological evolution reflects the increasing complexity of portable devices and their power requirements. Early BMS implementations focused primarily on preventing overcharging and deep discharge conditions. However, modern portable electronics demand precise power management to support high-performance processors, advanced displays, wireless communication modules, and multiple sensors operating simultaneously while maintaining compact form factors and extended operational periods.
Contemporary BMS architectures integrate multiple subsystems including cell balancing circuits, thermal management, state estimation algorithms, and communication interfaces. The transition from analog to digital control systems has enabled real-time monitoring of battery parameters such as voltage, current, temperature, and impedance, facilitating more accurate state-of-charge and state-of-health predictions.
The primary optimization goals for BMS in portable electronics center on maximizing battery utilization efficiency while ensuring safety and longevity. Energy efficiency optimization targets minimizing power losses during charging and discharging cycles through advanced switching topologies and adaptive control algorithms. Battery life extension represents another crucial objective, achieved through optimal charging profiles, cell balancing strategies, and thermal management protocols that reduce degradation mechanisms.
Performance optimization encompasses fast charging capabilities without compromising battery health, accurate fuel gauging for reliable user experience, and dynamic power allocation based on application requirements. Safety optimization remains paramount, involving protection against thermal runaway, overcurrent conditions, and voltage anomalies through multi-layered monitoring and fail-safe mechanisms.
System integration optimization focuses on minimizing BMS footprint and power consumption while maintaining functionality, enabling seamless integration with device power management units and operating system power policies. Advanced optimization targets include predictive maintenance capabilities, adaptive learning from user patterns, and intelligent power scheduling to maximize device availability and user satisfaction.
Market Demand for Advanced Portable Electronics BMS
The portable electronics market has experienced unprecedented growth driven by the proliferation of smartphones, tablets, wearables, and IoT devices. This expansion has created substantial demand for sophisticated battery management systems that can deliver enhanced performance, safety, and longevity. Consumer expectations for longer battery life, faster charging capabilities, and reliable operation have intensified the need for advanced BMS solutions.
Smartphone manufacturers face increasing pressure to differentiate their products through superior battery performance. The market demands BMS technologies that can support rapid charging protocols while maintaining battery health over extended usage cycles. Premium smartphone segments particularly require advanced thermal management and cell balancing capabilities to support high-performance processors and multiple wireless communication modules simultaneously.
The wearable device segment presents unique BMS requirements due to size constraints and continuous operation demands. Fitness trackers, smartwatches, and health monitoring devices require ultra-compact BMS solutions that can optimize power consumption across various sensors and communication interfaces. The market seeks BMS technologies capable of intelligent power scheduling and adaptive performance scaling to maximize operational time between charges.
Tablet and laptop markets drive demand for multi-cell BMS architectures with sophisticated balancing algorithms. Professional users require systems that can maintain consistent performance during intensive computational tasks while preserving long-term battery capacity. Educational and enterprise sectors particularly value BMS solutions that provide predictive maintenance capabilities and usage analytics.
The emerging IoT device ecosystem creates demand for low-power BMS solutions optimized for intermittent operation patterns. Smart home devices, environmental sensors, and industrial monitoring equipment require BMS technologies that can efficiently manage power harvesting capabilities and extend operational periods through intelligent sleep mode management.
Gaming devices and portable entertainment systems represent a high-growth market segment requiring BMS solutions capable of handling variable power loads. These applications demand advanced thermal management and dynamic voltage regulation to maintain performance during intensive gaming sessions while ensuring user safety and device longevity.
Smartphone manufacturers face increasing pressure to differentiate their products through superior battery performance. The market demands BMS technologies that can support rapid charging protocols while maintaining battery health over extended usage cycles. Premium smartphone segments particularly require advanced thermal management and cell balancing capabilities to support high-performance processors and multiple wireless communication modules simultaneously.
The wearable device segment presents unique BMS requirements due to size constraints and continuous operation demands. Fitness trackers, smartwatches, and health monitoring devices require ultra-compact BMS solutions that can optimize power consumption across various sensors and communication interfaces. The market seeks BMS technologies capable of intelligent power scheduling and adaptive performance scaling to maximize operational time between charges.
Tablet and laptop markets drive demand for multi-cell BMS architectures with sophisticated balancing algorithms. Professional users require systems that can maintain consistent performance during intensive computational tasks while preserving long-term battery capacity. Educational and enterprise sectors particularly value BMS solutions that provide predictive maintenance capabilities and usage analytics.
The emerging IoT device ecosystem creates demand for low-power BMS solutions optimized for intermittent operation patterns. Smart home devices, environmental sensors, and industrial monitoring equipment require BMS technologies that can efficiently manage power harvesting capabilities and extend operational periods through intelligent sleep mode management.
Gaming devices and portable entertainment systems represent a high-growth market segment requiring BMS solutions capable of handling variable power loads. These applications demand advanced thermal management and dynamic voltage regulation to maintain performance during intensive gaming sessions while ensuring user safety and device longevity.
Current BMS Technology Status and Optimization Challenges
Battery Management Systems in portable electronics have evolved significantly over the past decade, yet continue to face substantial optimization challenges that limit device performance and user experience. Current BMS implementations primarily focus on basic safety functions including overcharge protection, thermal monitoring, and cell balancing, while advanced optimization features remain underdeveloped in mainstream consumer devices.
The predominant BMS architectures in portable electronics utilize centralized control units with analog front-end circuits for voltage and current sensing. These systems typically employ coulomb counting methods combined with voltage-based state estimation algorithms to determine battery state of charge and health. However, accuracy degradation occurs under dynamic load conditions and temperature variations, leading to suboptimal power management decisions.
State-of-charge estimation represents one of the most critical optimization challenges, with existing algorithms showing 5-15% accuracy variations under real-world usage patterns. Traditional approaches rely heavily on lookup tables and linear interpolation methods, which fail to account for battery aging effects and individual cell characteristics. Advanced techniques such as Extended Kalman Filters and machine learning-based estimation are emerging but face implementation barriers due to computational constraints and power consumption concerns.
Thermal management optimization remains inadequately addressed in current portable BMS designs. Most systems employ simple temperature thresholds for protection rather than predictive thermal modeling. This reactive approach results in unnecessary performance throttling and reduced battery lifespan. The integration of thermal prediction algorithms with dynamic power allocation strategies represents a significant opportunity for optimization improvement.
Power path management optimization faces challenges in balancing charging speed, thermal constraints, and battery longevity. Current implementations often prioritize charging speed over long-term battery health, leading to accelerated capacity degradation. The lack of adaptive charging algorithms that consider usage patterns, ambient conditions, and battery aging status represents a major optimization gap.
Cell balancing techniques in portable electronics predominantly utilize passive balancing methods, which waste energy as heat during the balancing process. Active balancing solutions, while more efficient, face cost and complexity barriers that limit widespread adoption. The optimization challenge lies in developing cost-effective active balancing architectures suitable for space-constrained portable applications.
Communication protocol optimization between BMS components and system processors presents ongoing challenges. Current implementations often rely on legacy protocols with limited bandwidth and real-time capabilities, constraining the implementation of advanced optimization algorithms that require high-frequency data exchange and rapid response times.
The predominant BMS architectures in portable electronics utilize centralized control units with analog front-end circuits for voltage and current sensing. These systems typically employ coulomb counting methods combined with voltage-based state estimation algorithms to determine battery state of charge and health. However, accuracy degradation occurs under dynamic load conditions and temperature variations, leading to suboptimal power management decisions.
State-of-charge estimation represents one of the most critical optimization challenges, with existing algorithms showing 5-15% accuracy variations under real-world usage patterns. Traditional approaches rely heavily on lookup tables and linear interpolation methods, which fail to account for battery aging effects and individual cell characteristics. Advanced techniques such as Extended Kalman Filters and machine learning-based estimation are emerging but face implementation barriers due to computational constraints and power consumption concerns.
Thermal management optimization remains inadequately addressed in current portable BMS designs. Most systems employ simple temperature thresholds for protection rather than predictive thermal modeling. This reactive approach results in unnecessary performance throttling and reduced battery lifespan. The integration of thermal prediction algorithms with dynamic power allocation strategies represents a significant opportunity for optimization improvement.
Power path management optimization faces challenges in balancing charging speed, thermal constraints, and battery longevity. Current implementations often prioritize charging speed over long-term battery health, leading to accelerated capacity degradation. The lack of adaptive charging algorithms that consider usage patterns, ambient conditions, and battery aging status represents a major optimization gap.
Cell balancing techniques in portable electronics predominantly utilize passive balancing methods, which waste energy as heat during the balancing process. Active balancing solutions, while more efficient, face cost and complexity barriers that limit widespread adoption. The optimization challenge lies in developing cost-effective active balancing architectures suitable for space-constrained portable applications.
Communication protocol optimization between BMS components and system processors presents ongoing challenges. Current implementations often rely on legacy protocols with limited bandwidth and real-time capabilities, constraining the implementation of advanced optimization algorithms that require high-frequency data exchange and rapid response times.
Current BMS Optimization Solutions and Approaches
01 State of Charge (SOC) and State of Health (SOH) Estimation
Battery management systems utilize advanced algorithms and methods to accurately estimate the state of charge and state of health of battery cells. These estimation techniques involve monitoring voltage, current, and temperature parameters to predict remaining capacity and overall battery condition. Machine learning and adaptive filtering approaches can be employed to improve estimation accuracy over the battery lifecycle, enabling better performance prediction and maintenance planning.- State of Charge (SOC) and State of Health (SOH) Estimation: Battery management systems utilize advanced algorithms and methods to accurately estimate the state of charge and state of health of battery cells. These estimation techniques involve monitoring voltage, current, and temperature parameters to predict remaining capacity and battery degradation. Accurate SOC and SOH estimation enables better battery utilization, prevents over-discharge or overcharge conditions, and extends battery lifespan through optimized charging strategies.
- Cell Balancing and Equalization Techniques: Optimization of battery management systems includes implementing cell balancing methods to equalize the charge levels across individual cells in a battery pack. These techniques can be passive or active, redistributing energy among cells to prevent capacity mismatch and ensure uniform aging. Cell balancing improves overall pack performance, maximizes usable capacity, and prevents premature failure of weaker cells in the battery system.
- Thermal Management and Temperature Control: Battery management system optimization incorporates thermal management strategies to maintain optimal operating temperatures for battery cells. This includes monitoring temperature distribution, implementing cooling or heating systems, and adjusting charging parameters based on thermal conditions. Effective thermal management prevents thermal runaway, reduces degradation rates, and ensures safe operation across various environmental conditions.
- Predictive Analytics and Machine Learning Integration: Advanced battery management systems employ predictive analytics and machine learning algorithms to optimize battery performance and predict future behavior. These systems analyze historical data patterns, usage profiles, and environmental factors to forecast battery degradation, optimize charging schedules, and provide early warning of potential failures. Integration of artificial intelligence enables adaptive management strategies that continuously improve system efficiency.
- Communication Protocols and System Integration: Battery management system optimization includes implementing robust communication protocols and interfaces for integration with vehicle systems or grid infrastructure. This involves standardized data exchange formats, real-time monitoring capabilities, and cloud connectivity for remote diagnostics. Enhanced communication enables coordinated control strategies, facilitates system-level optimization, and supports features such as vehicle-to-grid integration and fleet management.
02 Cell Balancing and Equalization Techniques
Optimization of battery management systems includes implementing cell balancing strategies to ensure uniform charge distribution across all cells in a battery pack. Active and passive balancing methods can be employed to prevent overcharging or undercharging of individual cells, thereby extending battery lifespan and improving overall pack performance. These techniques help maintain consistent voltage levels and prevent capacity degradation due to cell imbalance.Expand Specific Solutions03 Thermal Management and Temperature Control
Effective thermal management is critical for battery management system optimization. Systems incorporate temperature monitoring and control mechanisms to maintain optimal operating temperatures and prevent thermal runaway. Cooling and heating strategies are implemented to ensure batteries operate within safe temperature ranges, which directly impacts performance, safety, and longevity. Advanced thermal models can predict temperature distribution and enable proactive cooling interventions.Expand Specific Solutions04 Communication Protocols and Data Management
Modern battery management systems employ sophisticated communication protocols to enable real-time data exchange between battery cells, control units, and external systems. Optimization involves implementing efficient data acquisition, processing, and transmission methods to monitor battery parameters continuously. Cloud connectivity and wireless communication capabilities allow for remote monitoring, diagnostics, and firmware updates, enhancing system flexibility and maintenance capabilities.Expand Specific Solutions05 Safety Protection and Fault Diagnosis
Battery management system optimization includes comprehensive safety protection mechanisms and fault diagnosis capabilities. Systems are designed to detect abnormal conditions such as overvoltage, undervoltage, overcurrent, and short circuits, and take appropriate protective actions. Advanced diagnostic algorithms can identify potential failures early, predict remaining useful life, and trigger preventive measures to avoid catastrophic failures and ensure safe operation under various conditions.Expand Specific Solutions
Key Players in BMS and Portable Electronics Industry
The battery management system optimization in portable electronics represents a rapidly evolving market driven by increasing demand for longer battery life and enhanced safety in consumer devices. The industry is in a growth phase, with significant market expansion fueled by smartphone, laptop, and wearable device proliferation. Technology maturity varies considerably among key players, with established electronics giants like Samsung Electronics, LG Electronics, and Sony Group demonstrating advanced BMS capabilities through their extensive consumer electronics portfolios. Semiconductor leaders Intel and specialized battery companies like LG Energy Solution showcase sophisticated optimization algorithms and hardware integration. Emerging players such as Beijing Haibo Sichuang Technology focus specifically on BMS innovation, while traditional automotive manufacturers like Honda and Toyota are adapting their expertise to portable applications, creating a diverse competitive landscape with varying technological approaches and market positioning strategies.
LG Energy Solution Ltd.
Technical Solution: LG Energy Solution has developed advanced Battery Management Systems featuring multi-level cell balancing technology and predictive analytics for portable electronics. Their BMS incorporates real-time state-of-charge (SOC) and state-of-health (SOH) estimation algorithms using Kalman filtering techniques. The system includes thermal management with integrated temperature sensors across battery cells, enabling dynamic thermal regulation. Their proprietary battery protection circuits feature overcurrent, overvoltage, and undervoltage protection with response times under 10 microseconds. The BMS also integrates wireless communication capabilities for remote monitoring and supports fast charging protocols with efficiency rates exceeding 95% while maintaining battery longevity through optimized charging curves.
Strengths: Industry-leading battery technology expertise, proven track record in consumer electronics, advanced thermal management capabilities. Weaknesses: Higher cost compared to competitors, limited customization options for specific portable device requirements.
Samsung Electronics Co., Ltd.
Technical Solution: Samsung has developed comprehensive BMS solutions for portable electronics utilizing their proprietary Smart Battery Management technology. Their system features adaptive charging algorithms that adjust charging parameters based on usage patterns and environmental conditions. The BMS incorporates machine learning algorithms for predictive battery health monitoring, enabling proactive maintenance scheduling. Samsung's solution includes multi-cell monitoring with individual cell voltage tracking accuracy within ±5mV, coupled with dynamic load balancing to maximize battery pack efficiency. The system supports various communication protocols including I2C, SPI, and CAN bus for integration with different portable device architectures. Their BMS also features power path management for seamless operation during charging cycles.
Strengths: Extensive consumer electronics experience, integrated hardware-software solutions, strong R&D capabilities in semiconductor technology. Weaknesses: Proprietary technology limits third-party integration, higher complexity may increase manufacturing costs.
Core BMS Optimization Patents and Technical Innovations
Intelligent Battery Management System and Method for Optimizing Battery Set to the Best Performance
PatentInactiveUS20140356656A1
Innovation
- An intelligent battery management system that automatically recombines batteries in various connection configurations, allowing for individual cell monitoring and charging/discharging optimization using a connection controller, micro-processor, measurement meters, and thermal management apparatus.
Configurable battery management system for portable devices
PatentInactiveIN3288CHE2015A
Innovation
- A smart battery management system that uses load data and two-stage temperature protection to estimate state of charge and time remaining, incorporating configurable protection features for over voltage, under voltage, and over temperature, with algorithms that combine existing methods to reduce mathematical complexity and improve accuracy.
Safety Standards and Regulations for Portable BMS
The regulatory landscape for portable Battery Management Systems encompasses multiple international and regional standards that establish fundamental safety requirements. IEC 62133 serves as the primary international standard for secondary lithium cells and batteries used in portable applications, defining essential safety tests including overcharge, over-discharge, and thermal abuse scenarios. This standard works in conjunction with IEC 61960 for lithium-ion batteries and IEC 61951 for nickel-based systems, creating a comprehensive framework for portable energy storage safety.
UL 2054 represents the North American approach to household and commercial battery safety, specifically addressing portable applications through rigorous testing protocols for electrical, mechanical, and environmental stresses. The standard mandates specific requirements for BMS protection circuits, including mandatory disconnection mechanisms for overcurrent, overvoltage, and thermal events. Similarly, EN 62133 provides European compliance pathways, often requiring additional CE marking procedures and documentation for market access.
Regional variations significantly impact BMS design requirements across global markets. The Chinese GB 31241 standard introduces stricter thermal runaway testing and mandatory flame retardant requirements for battery enclosures. Japanese PSE certification demands additional electromagnetic compatibility testing and specific labeling requirements. These regional differences necessitate adaptive BMS designs capable of meeting varying protection thresholds and response times across different markets.
Emerging regulatory trends focus increasingly on sustainability and end-of-life management. The European Battery Regulation 2023/1542 introduces carbon footprint declarations and recycling content requirements that directly impact BMS design philosophy. New standards are developing around second-life applications and battery passport requirements, demanding enhanced data logging and traceability capabilities from BMS architectures.
Compliance verification requires comprehensive testing protocols encompassing electrical safety, electromagnetic compatibility, and environmental resilience. Type testing procedures typically involve accelerated aging, abuse testing, and long-term reliability assessments. Documentation requirements include detailed failure mode analysis, risk assessments, and quality management system certifications, establishing clear accountability chains for safety-critical BMS functions in portable electronic applications.
UL 2054 represents the North American approach to household and commercial battery safety, specifically addressing portable applications through rigorous testing protocols for electrical, mechanical, and environmental stresses. The standard mandates specific requirements for BMS protection circuits, including mandatory disconnection mechanisms for overcurrent, overvoltage, and thermal events. Similarly, EN 62133 provides European compliance pathways, often requiring additional CE marking procedures and documentation for market access.
Regional variations significantly impact BMS design requirements across global markets. The Chinese GB 31241 standard introduces stricter thermal runaway testing and mandatory flame retardant requirements for battery enclosures. Japanese PSE certification demands additional electromagnetic compatibility testing and specific labeling requirements. These regional differences necessitate adaptive BMS designs capable of meeting varying protection thresholds and response times across different markets.
Emerging regulatory trends focus increasingly on sustainability and end-of-life management. The European Battery Regulation 2023/1542 introduces carbon footprint declarations and recycling content requirements that directly impact BMS design philosophy. New standards are developing around second-life applications and battery passport requirements, demanding enhanced data logging and traceability capabilities from BMS architectures.
Compliance verification requires comprehensive testing protocols encompassing electrical safety, electromagnetic compatibility, and environmental resilience. Type testing procedures typically involve accelerated aging, abuse testing, and long-term reliability assessments. Documentation requirements include detailed failure mode analysis, risk assessments, and quality management system certifications, establishing clear accountability chains for safety-critical BMS functions in portable electronic applications.
Environmental Impact and Sustainability in BMS Design
The environmental implications of Battery Management Systems in portable electronics have become increasingly critical as global electronic waste continues to escalate. Modern BMS designs must address the full lifecycle environmental impact, from raw material extraction through manufacturing, operation, and end-of-life disposal. The integration of sustainable practices in BMS architecture directly influences the overall carbon footprint of portable devices, making environmental considerations a fundamental design parameter rather than an afterthought.
Sustainable BMS design begins with material selection, emphasizing the use of recyclable components and conflict-free minerals. Advanced BMS architectures now incorporate bio-based materials for circuit boards and housings, while reducing reliance on rare earth elements. The miniaturization of BMS components not only improves device portability but also decreases material consumption and manufacturing energy requirements. These design choices significantly reduce the environmental burden associated with component production and transportation.
Energy efficiency optimization within BMS represents a crucial sustainability factor. Intelligent power management algorithms minimize standby power consumption and optimize charging cycles to extend battery lifespan. By implementing adaptive charging protocols and thermal management systems, modern BMS designs can increase battery cycle life by 30-40%, directly reducing the frequency of battery replacements and associated environmental waste.
The circular economy principles are increasingly integrated into BMS design through modular architectures that facilitate component reuse and recycling. Advanced BMS units now feature standardized interfaces and easily separable components, enabling efficient material recovery during device end-of-life processing. Smart diagnostic capabilities within the BMS provide detailed battery health data, supporting refurbishment programs and second-life applications for batteries that no longer meet primary device requirements.
Regulatory compliance and environmental certifications drive sustainable BMS innovation. Adherence to RoHS directives, WEEE regulations, and emerging battery passport requirements necessitates comprehensive environmental impact tracking throughout the BMS lifecycle. These regulatory frameworks encourage manufacturers to adopt cleaner production processes and develop more environmentally responsible BMS solutions that align with global sustainability objectives.
Sustainable BMS design begins with material selection, emphasizing the use of recyclable components and conflict-free minerals. Advanced BMS architectures now incorporate bio-based materials for circuit boards and housings, while reducing reliance on rare earth elements. The miniaturization of BMS components not only improves device portability but also decreases material consumption and manufacturing energy requirements. These design choices significantly reduce the environmental burden associated with component production and transportation.
Energy efficiency optimization within BMS represents a crucial sustainability factor. Intelligent power management algorithms minimize standby power consumption and optimize charging cycles to extend battery lifespan. By implementing adaptive charging protocols and thermal management systems, modern BMS designs can increase battery cycle life by 30-40%, directly reducing the frequency of battery replacements and associated environmental waste.
The circular economy principles are increasingly integrated into BMS design through modular architectures that facilitate component reuse and recycling. Advanced BMS units now feature standardized interfaces and easily separable components, enabling efficient material recovery during device end-of-life processing. Smart diagnostic capabilities within the BMS provide detailed battery health data, supporting refurbishment programs and second-life applications for batteries that no longer meet primary device requirements.
Regulatory compliance and environmental certifications drive sustainable BMS innovation. Adherence to RoHS directives, WEEE regulations, and emerging battery passport requirements necessitates comprehensive environmental impact tracking throughout the BMS lifecycle. These regulatory frameworks encourage manufacturers to adopt cleaner production processes and develop more environmentally responsible BMS solutions that align with global sustainability objectives.
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