| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 404688 | Neural Networks | 2008 | 8 Pages |
Abstract
A neural network controller for improved fuel efficiency of the Toyota Prius hybrid electric vehicle is proposed. A new method to detect and mitigate a battery fault is also presented. The approach is based on recurrent neural networks and includes the extended Kalman filter. The proposed approach is quite general and applicable to other control systems.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Danil V. Prokhorov,