Management strategy based on genetic algorithm optimization for PHEV
文献类型:期刊论文
作者 | Yu Zhang; Dawei Meng; Meilan Zhou; Dengke Lu |
刊名 | International Journal of Control and Automation
![]() |
出版日期 | 2014 |
英文摘要 | Aiming at the refitted HAFEI hybrid electric vehicle (HEV), fuzzy logic energy management strategy is constructed based ongenetic algorithm optimization. The difference value D between the total require torque Tr of path and the target required torque Te of engine, the intelligence quotient value with Tr is selected as the first input variable of fuzzy controller, the SOC of battery as the second input variable; torque control coefficient C is selected as output variable, meanwhile two input variable membership function is improved on genetic algorithm. To further evaluate the control strategy, dynamic programming control strategy is used as standard; the simulation experiments show that every kind of gas emission is obviously reduced by 12% to 47% in fuzzy control strategy B based on genetic algorithm optimization compared to strategy A based on determinacy rules. Compared to dynamic programming, fuel economy in strategy A is only 45.09% of standard value which is not ideal, the utilization of fuel is low and the gas emission is serious, while in strategy B fuel economy is 78.89% of standard value and effect is improved obviously. |
收录类别 | EI |
原文出处 | http://www.sersc.org/journals/IJCA/vol7_no11/37.pdf |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6202] ![]() |
专题 | 深圳先进技术研究院_其他 |
作者单位 | International Journal of Control and Automation |
推荐引用方式 GB/T 7714 | Yu Zhang,Dawei Meng,Meilan Zhou,et al. Management strategy based on genetic algorithm optimization for PHEV[J]. International Journal of Control and Automation,2014. |
APA | Yu Zhang,Dawei Meng,Meilan Zhou,&Dengke Lu.(2014).Management strategy based on genetic algorithm optimization for PHEV.International Journal of Control and Automation. |
MLA | Yu Zhang,et al."Management strategy based on genetic algorithm optimization for PHEV".International Journal of Control and Automation (2014). |
入库方式: OAI收割
来源:深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。