| 000 | 03546naaaa2200649uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/76554 | ||
| 005 | 20220714192458.0 | ||
| 020 | _abooks978-3-0365-1061-3 | ||
| 020 | _a9783036510606 | ||
| 020 | _a9783036510613 | ||
| 024 | 7 |
_a10.3390/books978-3-0365-1061-3 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aTB _2bicssc |
|
| 100 | 1 |
_aTudoroiu, Nicolae _4edt _91616954 |
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| 700 | 1 |
_aTudoroiu, Nicolae _4oth _91616954 |
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| 245 | 1 | 0 | _aBattery Management Systems of Electric and Hybrid Electric Vehicles |
| 260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2021 |
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| 300 | _a1 electronic resource (146 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThe topics of interest in this book include significant challenges in the BMS design of EV/HEV. The equivalent models developed for several types of integrated Li-ion batteries consider the environmental temperature and ageing effects. Different current profiles for testing the robustness of the Kalman filter type estimators of the battery state of charge are used in this book. Additionally, the BMS can integrate a real-time model-based sensor Fault Detection and Isolation (FDI) scheme for a Li-ion cell undergoing degradation, which uses the recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the demands of a large community of readers and specialists working in the field due to its attractiveness and scientific content with a great openness to the side of practical applicability. This covers various interesting aspects, especially related to the characterization of commercial batteries, diagnosis and optimization of their performance, experimental testing and statistical analysis, thermal modelling, and implementation of the most suitable Kalman filter type estimators of high accuracy to estimate the state of charge | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
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| 546 | _aEnglish | ||
| 650 | 7 |
_aTechnology: general issues _2bicssc _9928609 |
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| 653 | _aarrayed waveguide grating (AWG) | ||
| 653 | _aCMOS sensor | ||
| 653 | _adirect laser lithography | ||
| 653 | _afiber Bragg grating (FBG) | ||
| 653 | _alithium-ion battery | ||
| 653 | _afault detection and isolation | ||
| 653 | _asensor fault | ||
| 653 | _abattery model | ||
| 653 | _abattery management systems | ||
| 653 | _abattery degradation | ||
| 653 | _aelectric vehicles | ||
| 653 | _aonline parameter estimation | ||
| 653 | _arecursive least squares | ||
| 653 | _aparallel-connected cells | ||
| 653 | _ameasuring test bench | ||
| 653 | _acurrent distribution | ||
| 653 | _atab contact resistance | ||
| 653 | _abattery | ||
| 653 | _aultracapacitor | ||
| 653 | _asupercapacitor | ||
| 653 | _aelectric mobility | ||
| 653 | _aelectric bus | ||
| 653 | _aSAFT lithium-ion battery | ||
| 653 | _aSimscape model | ||
| 653 | _a3RC ECM Li-ion battery model | ||
| 653 | _astate of charge | ||
| 653 | _aadaptive EKF SOC estimator | ||
| 653 | _aadaptive UKF SOC estimator | ||
| 653 | _aparticle filter SOC estimator | ||
| 653 | _aADVISOR estimate | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/4000 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/76554 _70 _zDOAB: description of the publication |
| 999 |
_c3015890 _d3015890 |
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