Abstract
This paper researched an estimation method based on Extended Kalman Filter (EKF) for distributed drive electric vehicle states. A 7 DOF closed-loop vehicle simulation platform including driver model of preview follower method and 'Magic formula' tire model was established. A general 2-input-1-output and 3 states estimation system was established, considering the white Gauss measurement noise. The estimation algorithm was applied to a four-motor-driven vehicle during a double-lane-change process. The results showed that EKF estimator could effectively estimate the states of distributed drive electric vehicle with varying speed under simulative experimental condition.
| Original language | English |
|---|---|
| Pages (from-to) | 538-543 |
| Number of pages | 6 |
| Journal | Energy Procedia |
| Volume | 104 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | Applied Energy Symposium and Forum: Low - Carbon Cities and Urban Energy Systems, CUE 2016 - Jinan, China Duration: 13 Jun 2016 → 15 Jun 2016 |
Keywords
- Extended Kalman Filter
- distributed drive electric vehicle
- state estimation
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