Iyo bhatiri manejimendi sisitimu inoona mamiriro ekuchaja uye mamiriro ehutano mumabhatiri e-lithium-ion nekushandisa nzira dzekufungidzira dzisina kunanga. Haikwanise kuyera zvinhu izvi zvakananga nekuti bhatiri rine maitiro akaoma mukati. Saka, sisitimu inoshandisa nzira dzakaita sechiverengero chekuwedzera, kuverenga kweCoulomb, uye mhando dzepamusoro-inofambiswa nedata. Semuyenzaniso, inotarisa zviyereso semusiyano, zvinoreva, uye kutsveyama kubva kumagetsi uye macurves azvino kuti utarise kuparara kwebhatiri. Kushandisa nzira dzekufungidzira dzisina kunanga, sekudzidza kwemuchina uye nzira dzevacherechedzi, zvinobatsira kuita kuti fungidziro yenhabvu ive yakarurama uye yakachengeteka. Idzi nzira dzekufungidzira soc dzinobatsira bhatiri manejimendi system kufanotaura shanduko mumabhatiri e-lithium-ion. Vanobatsirawo kugadzirisa kurasikirwa kwemasimba, kuchembera, uye njodzi zviri nani. Yakanaka mamiriro ekuchaja fungidziro uye mamiriro ehutano fungidziro inobatsira yega lithium-ion bhatiri kushanda zvirinani uye kugara kwenguva refu.
Yechokwadi soc fungidziro mu lithium-ion bhatiri masisitimu inochengetedza bhatiri kubva pakuchaja, kuwandisa, uye kukundikana kamwe kamwe. Izvi zvinoita kuti hunyanzvi hwekufungidzira hwakasimba huve hwakakosha kune azvino mabhatiri manejimendi masisitimu.
Statistical Metric | tsananguro | Kuwirirana neBattery Degradation |
|---|---|---|
Kusiyana | Inotarisa kuti yakadzikama sei voltage / ikozvino shanduko iri | Kusiyanisa kwepamusoro kunoreva kusaenzana mukati mekudzivirira uye maitiro emakemikari, uye kukuvara kwe electrode |
Kunonyanyisa Kukosha | Yakakwira voltage / yazvino panguva yekuchaja kana kuburitsa | Nhamba dzepasi dzinoratidza kushomeka kwemutoro uye matambudziko anogona kuitika ekuchengetedza senge kuwandisa kana kupisa |
Minimum Kukosha | Yakaderera voltage / ikozvino panguva yekuchaja kana kuburitsa | Inoratidza kurasikirwa kwemasimba uye matambudziko ekuchengetedza |
Kureva (Avhareji) | Avhareji yemagetsi / ikozvino panguva yekutenderera | Shanduko dzinoratidza kuparara kwe electrolyte uye kushomeka kwesimba kubuda |
Skewness | Izvo zvisina kuenzana iyo voltage / ikozvino yakapararira | Inoshandiswa muchikamu chekubvisa kufanotaura SOH |
Yakawandisa Kurtosis | Yakapinza sei voltage / ikozvino peak iri | Nhamba dzepamusoro dzinoreva kuwedzera polarization uye kushoma lithium kuisa kugona |
Zvitsva Zvitsva
Battery manejimendi masisitimu haagone kuyera kuchaji kana hutano zvakananga. Ivo vanoshandisa nzira dzisina kunanga senge nhamba yekuongorora, kuverenga kweCoulomb, uye kudzidza muchina. Nzira idzi dzinobatsira kufungidzira kuchaji kwebhatiri uye hutano.
Kuziva mamiriro-ye-chaji kunobatsira kuchengetedza mabhatiri. Inomira kuwandisa, kuwandisa, uye matambudziko anoerekana aitika.
Pane nzira dzakasiyana dzekutarisa mabhatiri. Vhura Circuit Voltage, Coulomb Counting, Kalman Filtering, uye AI-based modhi dzimwe nzira. Imwe neimwe ine yakanaka mapoinzi uye yakaipa mapoinzi. Kuzvishandisa pamwe chete kunoita kuti mhedzisiro ive nani uye yakavimbika.
State-of-health estimation inotarisa kuti bhatiri rakura sei. Inotarisa kurasikirwa kwemasimba uye kushorwa kwemukati. Izvi zvinobatsira kufungidzira hupenyu hwebhatiri uye kudzivirira matambudziko ekuchengetedza.
Hybrid nzira dzinosanganisa modhi-yakavakirwa uye nzira dzinofambiswa nedata. Izvi zvinopa migumisiro yakanakisisa. Vanogona kuchinja nekushandiswa kwenyika chaiyo. Izvi zvinobatsira mabhatiri kugara kwenguva refu uye kushanda zviri nani.
Battery Management System Basics
Mabasa Akakosha
Bhatiri manejimendi system yakakosha kune lithium-ion mabhatiri. Inobatsira kuchengetedza lithium-ion mabhatiri akachengeteka uye achishanda nemazvo. Iyo sisitimu inotarisa yega yega lithium-ion bhatiri cell yevoltage, yazvino, uye tembiricha. Inoitawo shuwa kuti ese lithium-ion bhatiri maseru anochaja uye anoburitsa zvakaenzana. Izvi zvinobatsira rimwe nerimwe lithium-ion bhatiri kugara kwenguva refu uye kushanda zviri nani.
Iyo bhatiri manejimendi system inotarisa mamiriro ekuchaja uye mamiriro ehutano kune yega lithium-ion bhatiri. Inoshandisa nhamba idzi kumisa kuwandisa uye kuburitsa zvakadzika, izvo zvinogona kukuvadza mabhatiri e-lithium-ion.
Kuchengeteka kunouya pekutanga. Iyo sisitimu inobvisa iyo lithium-ion bhatiri kana ikawana matambudziko sekupisa kana mapfupi maseketi. Inogona kushandisa maseru ekuchengetedza kana mapaketi kuchengetedza zvinhu kushanda.
Kukurukurirana kunokosha. Iyo bhatiri manejimendi system inoshandisa SPI neCAN bhazi kutumira data kune zvimwe zvikamu zvemudziyo kana mota.
Kune mhando dzakasiyana, sepakati kana kugoverwa, saka bhatiri manejimendi system inogona kukwana akawanda e lithium-ion bhatiri dhizaini.
Mamwe masisitimu ane mamwe maficha sekutarisa kure, kufanotaura kwehupenyu, uye kuona kukanganisa. Aya anoshandisa cloud computing uye muchina kudzidza kubatsira bhatiri kushanda zvirinani uye zvakachengeteka.
Kiyi Basa / Algorithm | tsananguro |
|---|---|
Cell Monitoring | Inotarisa voltage, ikozvino, uye tembiricha yega yega lithium-ion bhatiri cell. Inowana matambudziko uye inotanga zviito zvekuchengetedza. Inoratidza mamiriro ekubhadhara uye mamiriro ehutano. |
Power Optimization | Inodzora kuchaja uye kuburitsa kuchengetedza lithium-ion bhatiri maseru akachengeteka. Inoshanda nemamwe masisitimu ekushandisa simba nenzira yakangwara. |
Kuvimbiswa Kwekuchengeteka | Inomisa njodzi sekutiza kwemafuta. Inoshandisa zvirongwa zvekuchengetedza uye inochengetedza vanhu kubva kumagetsi. |
Battery Charging Optimization | Shanduko dzekuchaja kuderedza kushushikana pane yega yega lithium-ion bhatiri cell. Inosevha macode ekutadza kuti utarise gare gare. |
Cell Bancing Algorithm | Iva nechokwadi chekuti masero ebhatiri e-lithium-ion ane magetsi akafanana. Inoshandisa kuenzanisa kana kungoita kuti bhatiri rishande zvirinani. |
Kukurukurirana Algorithms | Inotumira data pakati pebhatiri manejimendi system uye zvimwe zvishandiso. Inomira kuchaja kana ikawana mamiriro asina kuchengetedzeka. |
Zano: Kushandisa yakagadzirira-yakagadzirwa software uye hardware zvishandiso zvinogona kubatsira mainjiniya kuvaka uye kuyedza bhatiri manejimendi system yemabhatiri e-lithium-ion nekukurumidza.
Inotsigirwa Chemistries
Iyo bhatiri manejimendi system inoda kushanda nevakawanda lithium-ion bhatiri chemistries. Chekemikari yega yega, senge NMC, LFP, uye NCA, ine mapoinzi ayo akanaka uye akaipa. Semuenzaniso, NMC lithium-ion mabhatiri ane yakanyanya simba density. LFP lithium-ion mabhatiri anogara kwenguva refu uye anobata kupisa zvirinani. Iyo bhatiri manejimendi system inoshandura mashandiro ayo kuti ikwane imwe neimwe lithium-ion bhatiri chemistry.
Zvidzidzo zvenguva pfupi yapfuura zvinotarisa kuti zvakasiyana sei lithium-ion bhatiri chemistries inoshanda mumotokari dzemagetsi. Zvidzidzo izvi zvinoratidza kuti mabhatiri ekutonga masisitimu anofanirwa kubata shanduko mukuwanda kwesimba, mutengo, uye hupenyu hwekutenderera. Ivo zvakare vanoratidza kuti kudziya kwekutonga uye fungidziro yenyika yakakosha kune yega yega lithium-ion bhatiri mhando. Michina yekudzidza modhi inogona kubatsira kufanotaura mamiriro ehutano hwemabhatiri e-lithium-ion nekushandisa data rakasefa. Izvi zvinodzikisira zvikanganiso uye zvinobatsira bhatiri manejimendi system kubata nenzira yega yega lithium-ion bhatiri chemistry mazera.
Iyo inochinjika bhatiri manejimendi system inogona kushanda neakawanda lithium-ion bhatiri chemistries. Izvi zvinobatsira chero application, kubva kumotokari dzemagetsi kuenda kune inotakurika magetsi, kuwana yakanyanya kunaka bhatiri kuita uye kuchengetedzeka.
State of Charge muLithium-Ion Mabhatiri
Mamiriro ekuchaja akakosha zvakanyanya kune lithium-ion mabhatiri. Inobatsira kuchengetedza bhatiri uye kushanda zvakanaka. Kana mamiriro ekutengesa asina kunaka, bhatiri rinogona kupisa zvakanyanya kana kupera simba. Izvi zvinogona kuita kuti bhatiri rityoke kana kutokonzera matambudziko ane njodzi semoto. Mumotokari dzemagetsi, kuziva mamiriro ekubhadharisa kunobatsira nebhureki uye kuchaja. Inoitawo kuti bhatiri rigare kwenguva refu. Zvidzidzo zvinoratidza kuti fungidziro yakanaka yekuchaja inodzikisira kukanganisa uye inobatsira nharaunda.
Iwe haugone kuyera mamiriro ekuchaja zvakananga mubhatiri ye lithium-ion. Kuita kwemakemikari mukati kwakavanzika uye kwakaoma kuona. Masensa anogona kunge asina kunaka nekuda kweruzha uye shanduko mubhatiri. Saka, mabhatiri manejimendi masisitimu anoshandisa dzakakosha nzira dzekufungidzira mamiriro ekuchaja. Vanotarisa voltage, ikozvino, uye tembiricha kuti vazvione. Idzi nzira dzinobatsira kubata nezvinetso zve sensor uye kuchembera kwebhatiri.
OCV nzira
Iyo Open Circuit Voltage nzira inofembera mamiriro ekuchaja nekutarisa bhatiri voltage mushure mekuzorora. Imwe neimwe bhatiri chemistry ine yayo yega voltage uye mamiriro ekuchaja link. Iyi nzira iri nyore uye haina mari yakawanda. Inoshanda zvakanaka kune yekutanga mamiriro ekuchaja cheki uye haidi hombe bhatiri modhi.
Kuonekwa | Details |
|---|---|
Principle | Iyo bhatiri voltage inoyerwa mushure mekuzorora. Iyo OCV uye mamiriro ekuchaja link inowanikwa nekuyedza mhando yega yega yebhatiri. |
Benefits | 1. Nzira iri nyore |
Nokuremara | 1. Inoda nguva yakareba yekuzorora (kupfuura maawa maviri kana kuchitonhora) |
Iyo nzira yeOCV haigone kutarisa mamiriro ekuchaja apo bhatiri riri kushanda. Lithium-ion mabhatiri anowanzo chinja nekukurumidza, saka kumirira kuti bhatiri rizorore hazvibatsiri. Flat spots muOCV curve inoita kuti zvive nyore kuwana zvikanganiso zvakakura kubva kudiki voltage shanduko.
Coulomb Counting
Coulomb Counting, kana Ah kuverenga, inofembera mamiriro ekuchaja nekuwedzera yazvino inopinda nekubuda. Inotanga nenhamba yekutanga yekuchaja uye inoishandura sekufamba kwazvino.
Kuongorora | Details |
|---|---|
nzira | Yakavandudzwa Coulomb Kuverenga algorithm |
Validation Nzira | MATLAB bvunzo ichienzaniswa neiyo chaiyo mamiriro ekuchaja kubva pakuchaja / kuburitsa macurves |
Kukanganisa kukuru (Kupera kwekuchaja) | Nezve 3.5% |
Kukanganisa Panguva yeCC Stage | Asingasviki 2% |
Kukanganisa Panguva yeCV Stage | Asingasviki 1% |
Error Trend | Inowedzera kukura nekufamba kwenguva isati yasvika mamiriro ekuongororwa kwehutano |
Zvinhu Zvinokosha | Yakanaka yekutanga mamiriro ekuchaja uye kuchaja cheki zvikanganiso zvakaderera |
Advantages | Simple math; kunaka kwakakwana; hapana imwe data yebhatiri inodiwa |
Zvipingamupinyi | Kukanganisa kunowedzera nekufamba kwenguva; inoda yakanaka yekutanga mamiriro ekubhadhara uye mamiriro ehutano nhamba |
Coulomb Kuverenga iri nyore kushandisa uye haidi yakawedzera bhatiri data. Asi kukanganisa kunogona kuwedzera nekufamba kwenguva. Zvikanganiso zvidiki mune yazvino kana yekutanga mamiriro ekubhadhara anogona kuwedzera. Iyi nzira inoshanda zvakanyanya nekutarisa nguva dzose kana dzimwe nzira dzekubatsira.
nzira | RMSE | MSE | MFA | Yakakosha Tsvaga |
|---|---|---|---|---|
Coulomb Counting (CC) | 0.5071 | 0.2572 | 0.4571 | Kukanganisa kwakanyanya nekuda kweruzha rwe sensor uye zvikanganiso; hazvina kunaka kushandiswa kwenguva refu |
Yakawedzerwa Kalman Sefa | 0.0925 | N / A | N / A | Kururama kuri nani nerubatsiro rwemuenzaniso; inoda yakanaka bhatiri modhi |
Kudzokorora Kwemashoko | 0.0778 | N / A | N / A | Zvirinani pane EKF asi isina kukwana kune mamiriro ekuchaja shanduko |
Tsigira Vector Machine | 0.0319 | N / A | N / A | Inobata shanduko zviri nani; inoda simba rakawanda rekombuta |
Random Sango Regression | 0.0229 | 0.0005 | 0.0139 | Kururama kwakanakisisa; inoshanda zvakanaka neruzha uye shanduko; yakanaka kune chaiyo bhatiri manejimendi |
Kalman Kusefa
Kalman Kusefa inoshandisa mhando dzemasvomhu kufungidzira mamiriro ekuchaja. Iyo yakawedzera Kalman sefa uye isina kunhuhwirira Kalman sefa yakakurumbira. Aya mafirita anosanganisa-chaiyo-nguva data nefungidziro yemhando yebhatiri. Vanogadzirisa zvavanofungidzira sezvo data idzva rinouya.
Kalman kusefa nzira senge EKF, UKF, adaptive Kalman mafirita, uye maviri Kalman mafirita anoshandiswa zvakanyanya.
Aya mafirita anoshandisa akareruka mabhatiri modhi uye mamwe akaomarara kuti awane mhedzisiro iri nani.
Miedzo inoratidza Kalman mafirita anobata shanduko, bhatiri ndangariro, uye sensor ruzha zvakanaka.
Kushandura marongero uye kushandisa neural network kunoita kuti zvive nani.
Kuvandudza nhamba zvakare uye zvakare kunobatsira kugadzirisa zvikanganiso kubva kumhando shanduko uye sensor drift.
Zvidzidzo zvinoratidza anochinja uye maviri Kalman mafirita anoita zvirinani pane akajairwa EKF yenzvimbo yekuchaja.
Kalman Kusefa inopa yakanaka, chaiyo-nguva mamiriro ekuchaja fungidziro yelithium-ion mabhatiri. Inoda kunyatsoseta uye yakanaka bhatiri modhi. Inogona kuve yakaoma kushandisa, asi inoshanda nemazvo kana zvinhu zvachinja nekukurumidza.
Hybrid uye AI Nzira
Hybrid uye AI nzira dzinosanganisa modhi-yakavakirwa uye data-yakavakirwa nzira dzekufungidzira mamiriro ekuchaja. Aya anoshandisa muchina kudzidza, senge neural network, inotsigira vector michina, uye zvisina kurongeka dondo regression. Ivo vanodzidza kubva kune voltage, yazvino, uye tembiricha data. Nzira dzeHybrid dzinogadzirisa matambudziko ayo nzira imwe chete isingagone.
Kuonekwa | tsananguro |
|---|---|
nzira | Hybrid state of charge fembera uchishandisa Coulomb Kuverenga uye Relevance Vector Machine (movIRVM-Coulomb) |
Dataset | Single bhatiri cell data, bhatiri paki yekuyedza data, Advisor simulation data |
Conditions | Miedzo neUS06, UDDS, NYCC, 1015 drive cycles; tembiricha 0°C, 25°C, 45°C; yekutanga mamiriro ekubhadhara 50%, 80% |
Kururama (RMSE) | Mukati me2% kune akawanda bvunzo uye tembiricha |
Kuvandudza | Kupfuura 30% zviri nani pane movIRVM chete; zvikanganiso zvishoma nekufamba kwenguva |
Chisungo Chakakosha Chagadziriswa | Inogadzirisa kukanganisa kuvaka-up mune yakachena Coulomb Kuverenga |
Zvimwe Zvinyorwa | Inoshandisa avhareji yekufamba kucheka ruzha; inongoda 10-30% data yekudzidzira yeRVM chikamu |
Nzira dzeHybrid dzinosanganisa data uye modhi kubata zvisingaite bhatiri zviito.
Data-based nzira dzinosanganisira neural network, kutsigira vector michina, Gaussian process regression, wavelet neural network, uye fuzzy logic.
Idzi nzira fembera mamiriro ekuchaja kubva kumasaini aunokwanisa kuyera.
Matambudziko anosanganisira kusiyana kwebhatiri, kushandiswa kusinganzwisisike, uye kupera kwebhatiri.
Iye zvino, vatsvakurudzi vanoda nzira-based data nokuti mhando chete haigoni kugadzirisa matambudziko ose.
Zvidzidzo zvitsva zvinoshandisa kudzidza kwakadzama uye data chaiyo yemotokari inoratidza yakasanganiswa uye nzira dzeAI dzinogona kufungidzira mamiriro ekubhadharisa neisingasviki 2% kukanganisa. Idzi nzira dzakanyanya uye dzinoshanda nemazvo, kunyangwe kana zvinhu zvachinja zvakanyanya.
Ongorora: Nzira dzechiverengero dzinobatsira mamiriro ekubhadharisa kufungidzira nekugadzirisa kusavimbika, zvikanganiso zve sensor, uye ruzha rusina kurongeka. Calibration, regression, uye kuyedzwa kunoita kuti nzira dzese dzekuchaja dzive dzakavimbika.
State of Health Estimation Methods
Mamiriro ehutano, kana SOH, anotiudza kuti yakawanda sei lithium-ion bhatiri yakwegura. Inofananidza bhatiri ikozvino neraive nyowani. SOH inowanikwa nekutarisa hunyanzvi hwazvino uye nekuienzanisa nehukuru hwepakutanga. Inogonawo kuongororwa nekuenzanisa kupikisa kwemukati kune sero idzva. Apo SOH inodonha pasi pe80% kana 70%, bhatiri iri pamagumo ehupenyu hwayo. SOH ine basa nekuti inokanganisa kuti bhatiri rinoshanda sei, rakachengeteka sei, uye kuti rinogara kwenguva yakareba sei. Sezvo SOH ichidzika, bhatiri rinobata simba shoma. Izvi zvinoreva kuti mota dzemagetsi hadzigone kuenda kure uye michina haimhanye kwenguva yakareba. Kana bhatiri rikakura zvakanyanya, rinogona kuzvimba, kudonha, kana kutobata moto. Kufanotaura kwakanaka kweSOH kunobatsira kumisa matambudziko aya uye kuchengetedza mabhatiri.
Kuonekwa | Uchapupu | Numerical Data / Details |
|---|---|---|
Tsanangudzo yeSOH | SOH ireshiyo yehuwandu hwazvino kune yekutanga huwandu kana kuenzanisa mukati mekupokana nebhatiri nyowani. | SOH yekupedzisira-yehupenyu mazinga ndeye 80% kana 70% kugona kwasara. |
Impact paKurarama Hurefu | SOH inoratidza kuti huwandu hwakarasika hwakarasika sei, izvo zvinomisa kuti mota dzemagetsi dzinogona kusvika papi. Kuchembera kwebhatiri zvinoreva kushomeka kwesimba. | Mabhatiri emotokari yemagetsi anoshandiswa kweanopfuura 10,000 km uye anopfuura mazuva 800 anoratidza maitiro ekurasikirwa kwesimba. |
Impact on Safety | Kuchembera kwakashata kunogona kukonzera kubuda, kuzvimba, kupisa, uye moto. | Njodzi dzekuchengetedza dzinowedzera zvakanyanya sekudonha kweSOH, saka kutarisa SOH kwakakosha. |
Nhoroondo Ye data | Dhata rinobva kumotokari zhinji dzemagetsi dzine nzira dzakasiyana dzekutyaira nekuchaja. | Iyo dataset ine 347 mota dzemagetsi, marekodhi ekuchaja kwemwedzi makumi maviri neshanu, uye akawanda ekuchinja kwepasirese. |
Matambudziko muSOH Estimation | Chaiyo-yenyika inoshanduka, zvikanganiso muSOC, data ine ruzha, uye kusakwana sampuli kunoita kuti SOH iome kutarisa. | Mhosho dzeSOC dzinokura sekukura kwemabhatiri, uye BMS ine dambudziko rekugadzirisa huwandu nekukurumidza. |
Advanced Methods | Kudzidza kwemuchina uye nzira-dzinoenderana nedata dzinoita kuti SOH itarise zvirinani. | BiGRU, inotsigira vector regression, uye yakadzika neural network inobatsira kufungidzira SOH neSOC zvakanyanya. |
Yemukati Kuramba
Kuramba kwemukati kwakakosha zvakanyanya pakutarisa SOH mumabhatiri e lithium-ion. Sezvo mabhatiri anokura, kudzivirira kwavo kwemukati kunokwira. Izvi zvinoitika nekuti zvikamu zviri mukati mebhatiri zvinosakara uye zvinoputsika. Kana kushorwa kwakapetwa kaviri kana huwandu hunodonha kusvika ku70-80%, bhatiri iri pamagumo ehupenyu hwayo. Nzira dzakawanda dzekutarisa SOH dzinoshandisa mukati mekudzivirira. Kuyera kuramba kunopa zvibereko zvakanaka asi kazhinji kunoda kuti bhatiri rizorore, izvo zvakaoma panguva yekushandiswa kwakajairika.
Masayendisiti akaita nzira itsva dzekushandisa mukati kuramba kuita kuti SOH itarise zviri nani. Semuenzaniso, ivo vanogadzirisa yakavhurika-circuit voltage curve vachishandisa kuramba data. Izvi zvinobatsira kuderedza zvikanganiso kubva pakuchinja kwekuchaja kumhanya. Iyi nzira inoshandisa zvinhu senge nguva yazvino yekuchaja nguva pane yakaoma math. Miedzo padhata chaiyo yebhatiri inoratidza nzira iyi inogona kudzikisa zvinoreva kukanganisa zvachose kusvika pa1.28% kune mamwe magetsi. Iyi mhedzisiro inoratidza kuti kutarisa kwemukati kuramba kunoita kuti SOH itarise yakasimba uye yakanyanya kunyatso.
Kutadza
Impedance-based ways dzinoshandisa kuti bhatiri rinoita sei kumagetsi kutarisa SOH. Idzi nzira dzinowanzo shandisa electrochemical impedance spectroscopy kana bvunzo dzakafanana. Nekuona kuti bhatiri rinoita sei nema frequency akasiyana, mainjiniya anogona kuona kuchembera uye kufungidzira SOH. Impedance nzira dzinogona kuve dzakanyatsoita, nemudzi unoreva square zvikanganiso pakati pe0.75% uye 1.5% SOH zvikamu.
Maitiro Rudzi | tsananguro | SOH Prediction Accuracy (RMS Error) | Kufunga Kunoshanda |
|---|---|---|---|
Yakananga EIS Data | Inoshandisa yakasvibirira electrochemical impedance spectroscopy data | 0.75% - 1.5% SOH zvikamu | Kukurumidza kuyera, asi masero anogona kusiyana |
Yakaenzana Circuit Inokodzera | Inofananidza data yeEIS kune ematunhu modhi | 0.75% - 1.5% SOH zvikamu | Inoda basa rakawanda uye masvomhu, asi ine kusavimbika kushoma |
Distribution of Relaxation Times (DRT) | Inotarisa kuti zvinotora nguva yakareba sei kuti zvinhu zvigadziriswe uchishandisa EIS data | 0.75% - 1.5% SOH zvikamu | Zvinotora simba rakawanda rekombuta, asi rinochinjika |
Nonlinear Frequency Response Analysis (NFRA) | Inoshandisa yakakosha frequency data kutarisa SOH | 0.75% - 1.5% SOH zvikamu | Inopa ruzivo rwakanaka nezvekuita kwebhatiri, nekukurumidza kupfuura kubuda kwakazara |
Impedance-yakavakirwa nzira dzinoshanda nemazvo mumaLab uye inopa yakawanda ruzivo nezve kuchembera kwebhatiri. Asi nzira idzi dzinogona kuve dzakaoma uye dzinonyengera kushandisa mune chaiyo-nguva bhatiri masisitimu. Vanowanzoda maturusi anokosha uye kunyatsogadzirisa. Nzira nyowani-dzakavakirwa padhata dziri kutanga kutora nekushandisa muchina kudzidza kufungidzira kuchembera kwebhatiri pasina mamodheru akaoma.
Cycle Counting
Kuverenga kutenderera ndeimwe yenzira dzekare dzekutarisa SOH mumabhatiri e lithium-ion. Iyi nzira inoverenga kuti kangani bhatiri rinochajwa nekushandiswa. Kutenderera kwega kwega kwakazara kunoita kuti zera rebhatiri rive shoma. Nekuverenga kutenderera, mainjiniya anogona kufungidzira kuti bhatiri rasakara zvakadii.
Kuverenga kutenderera kuri nyore uye hakudi maturusi akakosha kana masvomhu akaomarara. Asi haritarisi kuti kutenderera kwega kwega kwakasiyana sei. Zvinhu zvakaita setembiricha, imarii bhatiri rinoshandiswa, uye nekukasira kwarinochaja zvese zvinoshandura kukurumidza kwarinoita, asi kuverenga kutenderera kunobata kutenderera kwese zvakafanana. Izvi zvinogona kuita kuti SOH itarise zvisizvo, kunyanya muhupenyu chaihwo uko mabhatiri anotarisana nemhando dzakawanda dzekushushikana.
Advanced Methods
Nzira dzepamusoro dzekutarisa SOH shandisa muchina kudzidza uye hungwaru hwekugadzira kudzidza yakawanda yebhatiri data. Idzi nzira dzinodzidza kubva kumagetsi, ikozvino, uye tembiricha yekufungidzira SOH zviri nani pane nzira dzekare. Michina yekudzidza modhi senge mashini ekutsigira mavheti, masango asina kurongeka, uye akadzika neural network anogona kuwana anonyengera bhatiri kuchembera.
Zvidzidzo zvenguva pfupi yapfuura zvinoratidza kuti idzi data-based nzira dzinoshanda zvirinani pane yekare mhando dzemuviri. Semuyenzaniso, tsigiro vector regression uye Gaussian process regression inogona kuwana midzi inoreva square zvikanganiso pazasi 0.4% kana uchifungidzira SOH. Feed-forward neural network uye adaptive neuro-fuzzy inference masisitimu anoitawo zvakanaka, nezvikanganiso zvakaderera uye mhedzisiro yakanaka yemabhatiri akasiyana.
Nzira dzekudzidza dzemuchina hadzidi akadzama mabhatiri modhi.
Cloud computing inobvumira mamodheru makuru kumhanya, zvichiita kuti SOH itarise zvirinani kunyangwe bhatiri system iri diki.
Kushandisa anopfuura mumwe muchina kudzidza modhi kunogona kuita kuti macheki eSOH atonyanya kunyatso.
Idzi nzira dzinogona kuwana zvinoreva zvikanganiso zvakakwana mukati me3% uye mudzi unoreva square zvikanganiso mukati me2% mune chaiyo bvunzo.
Asi, nzira dzepamusoro dzinoda ruzivo rwakanaka uye rwakawanda rwekudzidzisa. Dzinogona kuva nematambudziko ekukwegura kwemabhatiri kana shanduko huru mukushandiswa kwemabhatiri. Kusarudza zvinhu zvakanaka kubva kudata rekuchaja kwakakosha, sezvo kuchaja kuchiwanzoitika pane kushandisa bhatiri mumotokari dzemagetsi. Mainjiniya anofanira kuve nechokwadi chekuti nzira idzi dzakasimba uye dzakachengeteka vasati vadzishandisa mumabhatiri anochengetedza vanhu.
Ongorora: Kufamba kubva kumhando dzekare dzemuviri kuenda kune data-yakavakirwa nzira dzinoratidza kuti tinoda zvirinani uye zvakanyanya kuchinjika SOH cheki yemabhatiri e-lithium-ion. Kudzidza kwemichina kunobatsira kuona kuchembera kwebhatiri nekukurumidza uye kunoita kuti mabhatiri ashande zvirinani nekutsvaga zviratidzo zvematambudziko nekukurumidza.
Kubatanidza Nzira dzeKururamisa
Hybrid Maitiro
Masisitimu ekugadzirisa mabhatiri anoshanda zviri nani kana achishandisa nzira dzinopfuura imwe chete kuti aone mamiriro echaji uye hutano hwebasa. Nzira imwe chete haigone kugadzirisa matambudziko ese ari mumasisitimu emabhatiri e-lithium-ion. Nzira dzakasanganiswa dzinosanganisa simba realgorithm rakavakirwa pamuenzaniso, rinotungamirwa nedata, uye rekudzidza. Izvi zvinobatsira kuderedza ruzha, kubata zvisingazivikanwe, uye kuramba zvichifambirana nekukwegura kwemabhatiri.
Mazhinji optimization algorithms, senge masikweya, Sunflower Optimization Algorithm, uye gondo remhanza yekutsvaga algorithm, inoita kuti mamiriro ekuchaja atarise zviri nani. Semuyenzaniso, iyo gondo remhanza yekutsvaga algorithm yaive nemhosho yepamusoro ye1.06% chete yeSOC.
Kuvandudzwa kweKuzvironga Mepu uye semi-inotariswa kudzidza kwakaratidza zvikanganiso zvepamusoro padyo ne1.25% uye RMSE yakaderera se0.55%. Mhedzisiro iyi inoreva nzira dzakasanganiswa dzinopa cheki dzakasimba dzeSOC dzemabhatiri e-lithium-ion.
Kushandisa inoshanda sero kuenzanisa nekudzidza muchina kuti urambe uine hupenyu hunobatsira kunobatsira nekusiyana kwesero uye kuchembera kwebhatiri. Masero akaenzana anopa mamiriro ari nani ekuchaja data, iyo inobatsira kufanotaura hutano hwebhatiri lithium-ion.
Hybrid neural network modhi dzinobatsira nekuchinja kwetembiricha uye mashandisirwo emabhatiri. Nekusanganisa kuenzanisa kwemuviri uye nzira dzinofambiswa nedata, bhatiri manejimendi masisitimu anogona kubatsira lithium-ion mabhatiri kugara kwenguva refu uye kushanda zviri nani. Multi-model fusion, senge Random Forest, inoita kuti mamiriro ehutano awedzere kusimba nekushandisa zvakanakisa zvikamu zvemhando dzakasiyana.
Hybrid nzira dzinobatsira bhatiri manejimendi masisitimu kubata chaiyo-yepasirese shanduko. Izvi zvinoita kuti vawedzere kuvimbika kumotokari dzemagetsi nezvimwe zvinoshandiswa.
Kufunga nezvekushandisa
Kutora uye kushandisa nzira dzakasanganiswa mune chaiyo lithium-ion bhatiri masisitimu inoda kunyatsoronga. Mainjiniya anofanirwa kufunga nezve izvo zvinoda kushandiswa kwega kwega, senge mota dzemagetsi kana kuchengetedza.
Nzira dzinofambiswa nedata dzinoshandisa chaiyo-nguva sensor data uye shanduko sezera remabhatiri kana kushandiswa. Idzi nzira dzakanyatsojeka, shanda nemakemistri akasiyana, uye ubate ruzha rwe sensor zvakanaka.
Hybrid masisitimu anosanganisa zvirinani zvisingaite musango algorithms, fizikisi-yakavakirwa modhi, uye mamwe maturusi ekudzidza muchina. Iyi chiyero inopa chokwadi, inoshanda nekukurumidza, uye inogona kushandiswa kune akawanda lithium-ion bhatiri mhando uye mamiriro.
Mainjiniya anofanirwa kugadzirisa matambudziko sekuda akawanda akanaka data, kutora maficha chaiwo, uye mutengo wemakomputa. Kusanganisa maficha uye tuning marongero anogona kuita kufanotaura kuve nani uye kubatsira nekuchinja chaiko-nguva.
Yakawanda yedata, senge cell voltage, yazvino, tembiricha, uye kutenderera kuverenga, inobatsira kusarudza akanakisa mahybrid nzira. Idzi nzira dzinobatsira neine ruzha kana kushaya data uye dzinopa yakakosha mibairo pakushandisa kwega kwega, kwete chete mamiriro ekutanga ekubhadharisa uye mamiriro ehutano. Muhupenyu chaihwo, nzira dzakasanganiswa dzinoshanda zvakanaka mumarabhoritari uye mumunda, senge mumotokari dzemagetsi, kwavanochengeta mabhatiri akachengeteka uye achishanda pasi pemamiriro akasiyana.
Zano: Pakusarudza nzira dzakasanganiswa, mainjiniya anofanirwa kufananidza nzira nezvinangwa zvebhatiri system, data, uye kwaichashandiswa. Izvi zvinobatsira kuve nechokwadi chekuti lithium-ion bhatiri manejimendi yakavimbika, inogona kukura, uye inoshanda munguva chaiyo.
Kuziva iyo soc chaiyo uye SOH kwakakosha zvakanyanya uye kuti mabhatiri e lithium-ion anoshanda sei. Imwe neimwe nzira ine yayo yakanaka mapoinzi, asi kushandisa inopfuura nzira imwe pamwe chete mubhatiri manejimendi system inopa yakanakisa mhedzisiro yekugadzira lithium-ion mabhatiri ekupedzisira uye anoshanda zvirinani. Tsvagiridzo nyowani inoratidza kuti kushandisa nzira dzakangwara dzekutora data rakakosha uye yakagadziridzwa neural network inogona kuita zvikanganiso zvidiki, kunyangwe kudzika kusvika 0.16%. Izvi zvinobatsira mabhatiri kugara kwenguva refu uye kugara akachengeteka. Izvo zvakakosha kuti utore nzira yekufungidzira inoenderana neiyo yega lithium-ion bhatiri inoda.
FAQ
Ndeipi basa guru rebhatiri manejimendi system?
Battery management system inochengetedza mabhatiri. Inotarisa mamiriro ekubhadhara uye mamiriro ehutano. Iyo system inoenzanisa maseru kuti ashande pamwechete. Inomisa mabhatiri kuti asanyanya kupisa kana kuzara zvakanyanya. Izvi zvinobatsira mabhatiri kugara kwenguva refu uye kushanda zviri nani.
Sei masensa asingakwanise kuyera mamiriro echaji zvakananga?
Masenzi haakwanise kutarisa mukati mebhatiri. Kuita kwemakemikari kunoitika mukati umo masensor asingaone. Masensa anoyera voltage, ikozvino, uye tembiricha. Iyo sisitimu inoshandisa nhamba idzi neakakosha algorithms kufungidzira mamiriro ekubhadharisa.
Tembiricha inokanganisa sei fungidziro yebhatiri?
Kana kuchipisa kana kutonhora, mashandiro ebhatiri anochinja. Iyo sisitimu inogona kukanganisa mamiriro ekubhadharisa kana mamiriro ehutano. Akanaka mabhatiri manejimendi masisitimu anoshandura masvomhu avo kugadzirisa zvikanganiso izvi.
Ndeipi nzira inopa yakanyanya kunaka mamiriro ehutano fungidziro?
nzira | Akarurama Chikamu |
|---|---|
Machine Learning | Pamusoro soro |
Impedance Analysis | High |
Yemukati Kuramba | nzira |
Cycle Counting | Low |
Kudzidza kwemichina kazhinji kunopa zvakanakisa mhedzisiro kana iyo data yakanaka.
