摘要
Based on the optimization design, the mathematical model of the control strategy parameter optimization taking the minimum fuel consumption as the objective function is established. Then, taking hybrid bulldozer as an example, the genetic algorithm is used to solve the optimization problem. Through optimization, the fuel consumption reduces 4.1% further more compared with conventional bulldozer under the same working condition. Using this method, it is easier to find a set of optimal parameters to shorten the calibrated time of the controller in a real hybrid electric vehicle.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 |
| 编辑 | Bing Xu |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 2256-2260 |
| 页数 | 5 |
| ISBN（电子版） | 9781467389778 |
| DOI | |
| 出版状态 | 已出版 - 29 9月 2017 |
| 活动 | 2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 - Chongqing, 中国 期限: 25 3月 2017 → 26 3月 2017 |
出版系列
| 姓名 | Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 |
|---|
会议
| 会议 | 2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Chongqing |
| 时期 | 25/03/17 → 26/03/17 |
指纹
探究 'Genetic algorithm study on control strategy parameter optimization of hybrid powertrain system' 的科研主题。它们共同构成独一无二的指纹。引用此
Qiang, S., & Ping, Z. (2017). Genetic algorithm study on control strategy parameter optimization of hybrid powertrain system. 在 B. Xu (编辑), Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 (页码 2256-2260). 文章 8054421 (Proceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAEAC.2017.8054421