LEADER 03409nam 2200685z- 450 001 9910557598003321 005 20240429215207.0 035 $a(CKB)5400000000043697 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76554 035 $a(EXLCZ)995400000000043697 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBattery Management Systems of Electric and Hybrid Electric Vehicles 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (146 p.) 311 $a3-0365-1060-5 311 $a3-0365-1061-3 330 $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 606 $aTechnology: general issues$2bicssc 610 $aarrayed waveguide grating (AWG) 610 $aCMOS sensor 610 $adirect laser lithography 610 $afiber Bragg grating (FBG) 610 $alithium-ion battery 610 $afault detection and isolation 610 $asensor fault 610 $abattery model 610 $abattery management systems 610 $abattery degradation 610 $aelectric vehicles 610 $aonline parameter estimation 610 $arecursive least squares 610 $aparallel-connected cells 610 $ameasuring test bench 610 $acurrent distribution 610 $atab contact resistance 610 $abattery 610 $aultracapacitor 610 $asupercapacitor 610 $aelectric mobility 610 $aelectric bus 610 $aSAFT lithium-ion battery 610 $aSimscape model 610 $a3RC ECM Li-ion battery model 610 $astate of charge 610 $aadaptive EKF SOC estimator 610 $aadaptive UKF SOC estimator 610 $aparticle filter SOC estimator 610 $aADVISOR estimate 615 7$aTechnology: general issues 700 $aTudoroiu$b Nicolae$4edt$01304462 702 $aTudoroiu$b Nicolae$4oth 906 $aBOOK 912 $a9910557598003321 996 $aBattery Management Systems of Electric and Hybrid Electric Vehicles$93027443 997 $aUNINA