Battery State of charge estimation based on Data-Driven Models with Moving Window filters and Physics-based Models with Efficient solid-phase diffusion PDEs Solved by the Optimized Projection method

Wei He. Battery State of charge estimation based on Data-Driven Models with Moving Window filters and Physics-based Models with Efficient solid-phase diffusion PDEs Solved by the Optimized Projection method. PhD thesis, University of Maryland, College Park, MD, USA, 2018. [doi]

@phdthesis{basesearch-9062,
  title = {Battery State of charge estimation based on Data-Driven Models with Moving Window filters and Physics-based Models with Efficient solid-phase diffusion PDEs Solved by the Optimized Projection method},
  author = {Wei He},
  year = {2018},
  url = {https://www.base-search.net/Record/4ef052e63fcbdf8953144d951bd2e142ab098cb8cb28b8991b3771b9b5f47cf6},
  note = {base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/21118)},
  researchr = {https://researchr.org/publication/basesearch-9062},
  cites = {0},
  citedby = {0},
  school = {University of Maryland, College Park, MD, USA},
}