2023
DOI: 10.3390/technologies11020060
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Research on Outdoor Mobile Music Speaker Battery Management Algorithm Based on Dynamic Redundancy

Abstract: In terms of the battery management system of a mobile music speaker, reliability optimization has always been an important topic. This paper proposes a new dynamic redundant battery management algorithm based on the existing fault-tolerant structure of a lithium battery pack. The internal configuration is adjusted according to the SOC of each battery, and the power supply battery is dynamically allocated. This paper selects four batteries to experiment on with two different algorithms. The simulation results s… Show more

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Cited by 24 publications
(9 citation statements)
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References 42 publications
(42 reference statements)
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“…On the other hand, because there is no backgate, electrostatic doping is not feasible for graphene-based Hall sensors on foil substrates. Under these conditions, it becomes more practical to use an encapsulating layer to reduce the amount of carriers or increase sensitivity. In practical applications, the enclosing layer serves as a barrier to protect the graphene material from external stimuli, ensuring a consistent Hall sensor performance. …”
Section: Flexible Hall Sensorsmentioning
confidence: 99%
“…On the other hand, because there is no backgate, electrostatic doping is not feasible for graphene-based Hall sensors on foil substrates. Under these conditions, it becomes more practical to use an encapsulating layer to reduce the amount of carriers or increase sensitivity. In practical applications, the enclosing layer serves as a barrier to protect the graphene material from external stimuli, ensuring a consistent Hall sensor performance. …”
Section: Flexible Hall Sensorsmentioning
confidence: 99%
“…13 Meanwhile, some algorithms based on dynamic redundancy can not only improve the availability and fault tolerance of the system but also realize the function of continuous fault detection and recovery without manual intervention, which greatly improves the reliability of the system. 14 3.4. General Steps.…”
Section: Machine Learningmentioning
confidence: 99%
“…Moreover, in the mode of nondirect power supply, the nanogenerator can also input the converted electrical energy into the battery of the acoustic device (headphones, speakers, etc. ), providing convenience for predicting the health of the battery. Therefore, the combination of nanogenerator and acoustic equipment also has great application potential and high research significance in other fields.…”
Section: Introductionmentioning
confidence: 99%