Analysis and Development of a method for state of charge estimation of batteries based on Kalman filters
Análise e Desenvolvimento de um método de estimação de estado de carga de baterias baseado em Filtros de Kalman
Work Plan
The Gantt diagram above shows work plan, is the result of the analysis of the objectives. The activity's name and temporal distribution is:
(1) Writing the state of art (02-12-2013 to 16-02-2014)
(2) Website development (17-02-2014 to 24-02-2014)
(3) Website update (17-02-2014 to 30-06-2014 in parallel with another tasks)
(4) Reading additional information about Kalman filters and numerical methods analysis (24-02-2014 to 07-03-2014)
(5) Kalman filter tests for linear and nonlinear systems. Battery modeling as a nonlinear state-space model (07-03-2014 to 17-03-2014)
(6) Development of the EKF algorithm in Matlab (17-03-2014 to 11-04-2014)
(7) Tests and validation and modification of the algorithm (if necessary) (11-04-2014 to 02-05-2014)
(8) Read information about New European Driving Cycles (NEDC) and data normalization (02-05-2014 to 13-05-2014)
(9) Pratical tests and algoritm tests (13-05-2013 to 30-05-2014)
(10) Writing the dissertation (30-05-2013 to 30-06-2014)