http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110427068-B
Outgoing Links
Predicate | Object |
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classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02D30-70 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W84-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05F1-67 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02N11-002 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W84-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02N11-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05F1-67 |
filingDate | 2019-07-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-09-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-09-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-110427068-B |
titleOfInvention | A MPPT method for self-powered wireless sensor network nodes for thermoelectric energy harvesting |
abstract | The invention discloses a direct adjustment and observation self-optimization MPPT method based on linear extrapolation, which is suitable for self-powered wireless sensor network (WSNs) nodes of thermoelectric energy collection. The MPPT method includes two steps of coarse adjustment and fine adjustment. First, the direct adjustment method is used for coarse adjustment, and then the observation self-optimization method is used for fine adjustment. The direct adjustment method first obtains the functional relationship D(R) between the total resistance value R of the DC-DC booster circuit and the WSNs node and the duty cycle D of the PWM signal controlled by the switch of the DC-DC booster circuit through simulation; then , based on D(R), the direct regulation method MPPT control module is constructed, and the duty cycle D of the required PWM signal is calculated. The observation self-optimization method first calculates the TEG internal resistance R in by using the linear extrapolation method, then calculates the equivalent resistance R of the DC-DC boost circuit and the WSNs node by measuring the voltage and current, and then calculates the power condition parameter λ (λ =R/Rin), and then adjust the duty cycle D of the PWM according to the interval of the λ value. The direct adjustment and observation self-optimization MPPT method based on linear extrapolation can effectively improve the tracking rate under the condition of ensuring the output power, overcome the shortcomings of the traditional MPPT method, and take into account the maximum stability while ensuring the stability. Fast and efficient power tracking. |
priorityDate | 2019-07-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23675743 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID450198291 |
Total number of triples: 17.