LEADER 03301nam 22006015 450 001 9910367237503321 005 20230708192128.0 010 $a981-15-0248-X 024 7 $a10.1007/978-981-15-0248-4 035 $a(CKB)4100000009451883 035 $a(DE-He213)978-981-15-0248-4 035 $a(MiAaPQ)EBC5902742 035 $a(PPN)269147675 035 $a(EXLCZ)994100000009451883 100 $a20190923d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBattery Management Algorithm for Electric Vehicles /$fby Rui Xiong 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XVII, 297 p. 193 illus., 122 illus. in color.) 311 $a981-15-0247-1 320 $aIncludes bibliographical references. 327 $aOverview of battery and its management -- Battery test -- Modeling theory of lithium-ion batteries -- Battery SOC and SOH estimation -- State estimation of battery system -- Remaining useful life prediction of lithium-ion batteries -- Low-temperature heating and optimal charging methods for lithium-ion batteries -- Algorithm development, test and evaluation. 330 $aThis book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms. Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage. 606 $aEnergy storage 606 $aAutomotive engineering 606 $aAutomatic control 606 $aElectrical engineering 606 $aMechanical and Thermal Energy Storage 606 $aAutomotive Engineering 606 $aControl and Systems Theory 606 $aElectrical and Electronic Engineering 615 0$aEnergy storage. 615 0$aAutomotive engineering. 615 0$aAutomatic control. 615 0$aElectrical engineering. 615 14$aMechanical and Thermal Energy Storage. 615 24$aAutomotive Engineering. 615 24$aControl and Systems Theory. 615 24$aElectrical and Electronic Engineering. 676 $a621.3126 700 $aXiong$b Rui$4aut$4http://id.loc.gov/vocabulary/relators/aut$0855732 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910367237503321 996 $aBattery Management Algorithm for Electric Vehicles$92193400 997 $aUNINA