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A Multi-mode Control Strategy for EV Based on Typical Situation
Technical Paper
2017-01-0438
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A multitude of recent studies are suggestive of the EV as a paramount representative of the NEV, its development direction is transformed from “individuals adapt to vehicles” to “vehicles serve for occupants”. The multi-mode drive control technology is relatively mature in traditional auto control sphere, however, a host of EV continues to use a single control strategy, which lacks of flexibility and diversity, little if nothing interprets the vehicle performances. Furthermore, due to the complex road environment and peculiarity of vehicle occupants that different requirement has been made for vehicle performance. To solve above problems, this paper uses the key technology of mathematical statistics process in MATLAB, such as the mean, linear fitting and discrete algorithms to clean up, screening and classification the original data in general rules, and based on short trips in the segments of kinematics analysis method to establish a representative of quintessential driving cycle. Therefore, it can provide us a way of extracting characteristic data in original rules. What we further do is fuzzy reasoning and intention recognition for controlling action of driver; we divided different classifications into two types: SPORT model and ECONOMIC model in order to improve the performance of vehicle and its accessories. At last, taking a simulation experiment for EV’s velocity, motor efficiency and battery SOC by DSPACE, which depends on the different opening degree of accelerator pedal, and we can summarize the difference between two strategies under typical situation. In addition, by optimizing control strategy we can make a single vehicle achieve multi-mode drive control, which improves the occupants’ sensation and receptiveness, also leads to the EV matching an optimum control of multi-mode based on typical situation.
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Gao, Z., Sun, T., and He, L., "A Multi-mode Control Strategy for EV Based on Typical Situation," SAE Technical Paper 2017-01-0438, 2017, https://doi.org/10.4271/2017-01-0438.Data Sets - Support Documents
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References
- Zhang Tong , Jia Yongxuan Revolution of Electric Vehicles’ Technology China Industry Press 2010
- Wang Tuolian , Luo Xinyuan , Xue Jiao Development Situation of Electric Vehicle and Exploration of Domestic Industrialization Int. J. Vehicle Maintenance and Repair 32 8 2 4 2011
- Jiang Haibin The Research of Control Strategy and Controller for Pure Electric Vehicle Ph. D. thesis Shanghai Jiaotong University 2010
- Hua Mengxin The Research of Electric Vehicles’ Control Strategy Ph. D. thesis Harbin Institute of Technology 2010
- Zhao Y. , Zhang Y. Stability Control System for four-in – wheel-motor Drive Electric Vehicle Fuzzy Systems and Knowledge Discovery 2009 FSD’09, Sixth International Conference on IEEE 2009 171 175
- Larminie J. , Lowry J. Electric Vehicle Technology Explained John Wiley and Son 2004
- Lv Hong Requirement and Development Technology of Electric Vehicles’ Motor Int. J. Auto Parts 36 4 17 18 2011
- Feng Yang , Jun Fu The Comparison and Analysis of Electric Vehicles’ Economic Performance Int. J. Wuhan University of Technology Edition 31 2 286 288 2009
- Liu Xiling , Yan Ding Domestic Urban Vehicles’ Riding Condition Int. J. Research of Environmental Science 13 1 23 27 2000
- Zhang Jianwei , Li Mengliang , Ai Guohe The Study of Vehicles’ Riding Conditions and Characters Int. J. Automotive Engineering 27 2 220 224 2005
- Husain I. Electric and Hybrid Vehicles: Design Fundamentals CRC Press 2011
- Zhang Zhen , Chen Dingyue , Liu Dong Parameter Design and Matching of Pure Electric Vehicles’ Drive Train Int. J. Saic Motor 29 8 7 9 2010
- Wang Yuhai , Song Jian , Li Xingkun The Research Based on the Fuzzy Inference of Driver Intention Recognition Int. J. Journal of Highway Communication Technology 18 9 66 73 2005
- Liu Zhiqiang , Yang Peipei , Ni Jie Driver Intention Recognition Method for Driving Simulation Training Int. J. Journal of Chongqing University of Science and Technology 28 10 1 7 2014
- Zhao Y. , Zhang Y. Fuzzy Control for Handling Stability of Motor Drive Electric Vehicle Computer and Information Application (ICCIA), 2010 International Conference on IEEE 2010 361 365
- Wang Qihua , Lv Xianqiang , Zhang Jing Analysis of the Importance of Mathematical Statistical Analysis in Scientific Research Int. J. Jinan Vocational College Journal 27 1 54 56 2014
- Guan Shihan The Application of Mathematical Statistic in Data Analysis Int. J. Forest Region 31 6 87 88 2011
- Guo Lihua , Liu Xiaoju Based on the Mathematical Modeling of Data Processing Int. J. Age of Big Data 28 5 45 50 2015
- Cui Shengmin The new Energy Automotive Technology Int. J. The China Science and Technology Information 8 6 69 72 2014
- Wakefield E H The Development of EV Int. J. The China Science and Technology Information 5 3 35 39 1998
- Qin Bo Analysis Our Country Development Present Situation and Prospect of Electric Vehicle Int. J. Knowledge based Economy 13 7 100 101 2013