## Optimization of fuzzy system performance using sequential quadratic programming

- Aihua Wang
- 2012 Third International Conference on…
- 2012

1 Excerpt

- Published 2005

A comprehensive procedure for testing, modeling, and control design of a fuel cell hybrid vehicle (FCHV) is presented in this paper. The subsystems are modeled based on lab testing and in-field vehicle testing results from the DaimlerChrysler Natrium prototype vehicle. An FC-VESIM (fuel cell hybrid vehicle simulation) model is then developed based on the experimental data. The power management control algorithm for the FCHV is subsequently developed based on the stochastic dynamic programming (SDP) technique, which produces an optimal policy for a given probability distribution of the vehicle power demand.

@inproceedings{Kim2005TestingMA,
title={Testing, Modeling, and Control of a Fuel Cell Hybrid Vehicle},
author={Min Joong Kim and Huei Peng and Chan - Chiao Lin and Euthie Stamos and Doanh Tran},
year={2005}
}