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@PHDTHESIS{Pilatowicz:707282,
      author       = {Pilatowicz, Grzegorz},
      othercontributors = {Sauer, Dirk Uwe and Ferg, Ernst},
      title        = {{F}ailure {D}etection and {B}attery {M}anagement {S}ystems
                      of {L}ead-{A}cid {B}atteries for {M}icro-{H}ybrid
                      {V}ehicles},
      volume       = {92},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      reportid     = {RWTH-2017-09156},
      series       = {Aachener Beiträge des ISEA},
      pages        = {1 Online-Ressource (212 Seiten) : Illustrationen,
                      Diagramme},
      year         = {2017},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, RWTH Aachen University, 2017},
      abstract     = {Micro-hybrid vehicles (µH) are currently starting to
                      dominate the European market and seize constantly growing
                      share of other leading markets in the world. On the one
                      hand, the additional functionality of µH reduces the CO2
                      emissions and improves the fuel economy, but, on the other
                      hand, the additional stress imposed on the lead-acid battery
                      reduces significantly its expected service life in
                      comparison to conventional vehicles. Because of that µH
                      require highly accurate battery diagnostics. It is necessary
                      to ensure the vehicle reliability requirements, prolong
                      service life, reduce warranty costs and maximize fuel
                      savings. The latter refers to reducing number of premature
                      engine restarts and missed stop-start opportunities.This
                      thesis presents battery state detection algorithms of
                      lead-acid batteries developed for operation in µH
                      applications. Their novelty is defined by improved accuracy,
                      reliability, robustness and applicability for different
                      types and sizes comparing to the known solutions. It was
                      possible thanks to conducted comprehensive experimental and
                      analytic study, allowing a better understanding of the
                      relevant electrochemical processes. Result of these studies
                      were the foundation for each of the described methods and
                      allowed finding optimal simplifications without significant
                      loss of performance. Reduced complexity is of high
                      importance for implementation of these algorithms into the
                      low-cost hardware, which is responsible for real-time
                      estimation of the battery state, current, voltage and
                      temperature of the terminal as well as communicating these
                      values to the body computer of the vehicle.},
      cin          = {618310 / 614500},
      ddc          = {621.3},
      cid          = {$I:(DE-82)618310_20140620$ / $I:(DE-82)614500_20201203$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2017-09156},
      url          = {https://publications.rwth-aachen.de/record/707282},
}