Interdependence of Electrical Machine and Transmission Control and the Optimal HEV Drive Train Configuration
Öz
The optimization of vehicles, results often in the optimization of software components since the cost-benefit calculation is especially good in this case. The best analyzed software component is the control strategy while components like the control of the electrical machine and the shifting strategy were not scrutinized as well. Therefore the potential of a modified machine control and shifting strategy are discussed in detail. Further the results of different measurement combinations are presented. Additionally the influence of those measurements on the optimal drive train configuration, meaning e.g. the optimal size of the electrical machine and the energy storage, is presented.
Anahtar Kelimeler
optimization hybrid electric vehicle (HEV) drive train transmission control machine control
Kaynakça
- X. Wu, B. Cao, J. Wen, and Y. Bian “Particle swarm optimization for plug-in hybrid electric vehicle control strategy parameter”, in Proceedings 4th IEEE Vehicle Power and Propulsion Conference, Harbin, China, Sept. 2008
- Y.-B. Yu, W. Qing-Nian, C. Yong-Jiu, H. Chang-Jian, and W. Bo-Shi “Control strategy optimization research using Dynamic Programming method for Synergic Electric System on HEV”, in Proceedings Intelligent Vehicles Symposium, pp. 770-774, July 2009.
- Y. Zhang, F. Sun, and H. He, “Control Strategy Optimization for Hybrid Electric Vehicle based on DIRECT Algorithm”, in Proceedings 4th IEEE Vehicle Power and Propulsion Conference, Harbin, China, Sept. 2008.
- D. Casadei, M. Mengoni, G. Serra, C. Rossi, A. Tani, and L.Zarri, “Robust Control Schemes for Induction Motor Drives for Electric Vehicle Applications,” in Proceedings of EVER 2010, Monaco, Mar. 2010.
- C. Bertram, D. Buecherl, T. Kohler, and H.-G. Herzog, “DIRECT as Two-Level Optimization Method for Drive Train Design and Control of Hybrid Electric Vehicles” in Proceedings of the EVS, 25nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition, Nov. 2010.
- I. Bolvashenkov and H.-G. Herzog “System Approach to a Choice of Optimum Factor of Hybridization of the Electric Vehicle,” in Proceedings of the EVS, 22nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exposition, 2006.
Öz
Kaynakça
- X. Wu, B. Cao, J. Wen, and Y. Bian “Particle swarm optimization for plug-in hybrid electric vehicle control strategy parameter”, in Proceedings 4th IEEE Vehicle Power and Propulsion Conference, Harbin, China, Sept. 2008
- Y.-B. Yu, W. Qing-Nian, C. Yong-Jiu, H. Chang-Jian, and W. Bo-Shi “Control strategy optimization research using Dynamic Programming method for Synergic Electric System on HEV”, in Proceedings Intelligent Vehicles Symposium, pp. 770-774, July 2009.
- Y. Zhang, F. Sun, and H. He, “Control Strategy Optimization for Hybrid Electric Vehicle based on DIRECT Algorithm”, in Proceedings 4th IEEE Vehicle Power and Propulsion Conference, Harbin, China, Sept. 2008.
- D. Casadei, M. Mengoni, G. Serra, C. Rossi, A. Tani, and L.Zarri, “Robust Control Schemes for Induction Motor Drives for Electric Vehicle Applications,” in Proceedings of EVER 2010, Monaco, Mar. 2010.
- C. Bertram, D. Buecherl, T. Kohler, and H.-G. Herzog, “DIRECT as Two-Level Optimization Method for Drive Train Design and Control of Hybrid Electric Vehicles” in Proceedings of the EVS, 25nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition, Nov. 2010.
- I. Bolvashenkov and H.-G. Herzog “System Approach to a Choice of Optimum Factor of Hybridization of the Electric Vehicle,” in Proceedings of the EVS, 22nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exposition, 2006.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Yazarlar | |
| Yayımlanma Tarihi | 1 Haziran 2011 |
| IZ | https://izlik.org/JA24YN95SE |
| Yayımlandığı Sayı | Yıl 2011 Cilt: 1 Sayı: 2 |