Energy Management Strategy Design for Double Fuzzy Control of Hybrid Storage Electric Vehicle
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摘要: 为增强对复合电源电动汽车锂电池峰值电流抑制作用,加强对锂电池的保护,提出双模糊控制能量管理策略。基于AVL CRUISE软件平台搭建了整车模型,在MATLAB/Simulink中建立了能量管理控制策略模型,通过联合仿真验证控制策略的有效性。与基于规则和基于单一模糊控制能量管理策略对比,本文所提出控制策略有效降低了锂电池峰值电流,同时兼顾了高低功率区间的锂电池电流波动抑制目标,使得超级电容在汽车各需求功率区间内放电功率更加合理,更好地保护了锂电池。
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关键词:
- 能量管理策略 /
- 超级电容 /
- AVL CRUISE /
- 双模糊控制
Abstract: In order to enhance the suppression effect on the peak current of lithium battery in hybrid storage electric vehicles and strengthen the protection of the lithium battery, a double fuzzy control energy management strategy is proposed in this paper. Based on the AVL CRUISE software platform, the vehicle model was built, and the energy management control strategy model was established in MATLAB/Simulink, and the effectiveness of the control strategy was verified by co-simulation. Compared with the rule-based and single fuzzy control-based energy management strategies, the control strategy proposed in this paper can effectively reduce the peak current of lithium batteries. At the same time, the lithium battery current fluctuation suppression targets in the high and low power range are taken into account, which makes the discharge power of the supercapacitor more reasonable in the required power range of the car, and the lithium battery is better protected.-
Key words:
- energy management strategy /
- supercapacitor /
- AVL CRUISE /
- double fuzzy control
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表 1 整车基本参数
Table 1. Entire vehicle's basic parameters
参数 数值 整备质量/kg 1650 满载质量/kg 2020 质心到前轴距离/mm 1330 质心到后轴距离/mm 1310 迎风面积$A$/m2 2.12 空气阻力系数${C_{\rm{D}}}$ 0.35 轮胎滚动半径$r$/mm 301 滚动阻力系数$f$ 0.019 旋转质量换算系数$\delta $ 1.1 传动效率$\eta $ 0.9 表 2 整车性能指标参数
Table 2. Vehicle performance index parameters
性能指标 基本参数要求 最高车速$ {{u}}_{\mathrm{m}\mathrm{a}\mathrm{x}} $ ≥160 km/h 0~50 km/h加速时间 ≤5 s 0~100 km/h加速时间 ≤12 s 最大爬坡度${\alpha _{\max }}$ 30%(车速:30 km/h) 续驶里程 300 km 表 3 电机基本参数
Table 3. Basic parameters of the motor
电机参数 参数值 额定电压/V 336 额定功率/kW 50 峰值功率/kW 110 额定转速/(r·min−1) 4400 最高转速/(r·min−1) 10000 额定转矩/Nm 109 最大转矩/Nm 239 表 4 锂电池与超级电容参数
Table 4. The basic parameters of lithium battery and supercapacitor
类型 电源参数 数值 锂电池 单体额定电压/V 3.2 单体最大电压/V 3.6 单体容量/Ah 22.5 串联数 105 并联数 9 额定总电压/V 336 超级
电容单体额定电压/V 2.7 单体最大电压/V 3.0 单体容量/F 3000 放电范围 40%~100% 串联数 148 并联数 1 额定总电压/V 400 表 5 加速意图识别规则表
Table 5. Rules table of acceleration intention recognition
加速意图 加速踏板开度 SS S M B VB 加速踏板开度变化率 SS SS S M B VB S S S M B VB M S S M B VB B M M B VB VB VB M B B VB VB 表 6 K1控制规则表
Table 6. K1 control rules
K1 P S M B SOCb( SOCsc=S) S S S M M S S S B S S S SOCb( SOCsc=M) S S M M M S S M B S S S SOCb( SOCsc=B) S M B B M S M B B S S M 表 7 K2输出规则表
Table 7. K2 control rules
K2 P SS S M B VB SOCb( SOCsc=S) S SS SS S M M M SS SS SS S S B SS SS SS S S SOCb( SOCsc=M) S SS S M B B M SS SS S M B B SS SS S M M SOCb( SOCsc=B) S S S M B VB M SS SS S M B B SS SS S M B 表 8 循环工况下最大峰值电流
Table 8. Maximum peak current under different cycle conditions
A 控制
策略单电源
系统基于
规则基于单一
模糊控制基于双模糊
控制NEDC 130.452 63.615 96.499 67.809 FTP75 111.422 63.343 62.586 59.415 -
[1] 张雷, 胡晓松, 王震坡. 超级电容管理技术及在电动汽车中的应用综述[J]. 机械工程学报, 2017, 53(16): 32-43. doi: 10.3901/JME.2017.16.032ZHANG L, HU X S, WANG Z P. Overview of supercapacitor management techniques in electrified vehicle applications[J]. Journal of Mechanical Engineering, 2017, 53(16): 32-43. (in Chinese) doi: 10.3901/JME.2017.16.032 [2] 张进, 麻友良. 复合电源电动汽车动力系统优化设计研究[J]. 计算机仿真, 2018, 35(4): 112-117. doi: 10.3969/j.issn.1006-9348.2018.04.023ZHANG J, MA Y L. Optimal design of electric vehicle 's power system with composite power supply[J]. Computer Simulation, 2018, 35(4): 112-117. (in Chinese) doi: 10.3969/j.issn.1006-9348.2018.04.023 [3] RIZOUG N, MESBAHI T, SADOUN R, et al. Development of new improved energy management strategies for electric vehicle battery/supercapacitor hybrid energy storage system[J]. Energy Efficiency, 2018, 11(4): 823-843. doi: 10.1007/s12053-017-9602-8 [4] WANG B, XU J, CAO B G, et al. A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles[J]. Journal of Power Sources, 2015, 281: 432-443. doi: 10.1016/j.jpowsour.2015.02.012 [5] YU H L, TARSITANO D, HU X S, et al. Real time energy management strategy for a fast charging electric urban bus powered by hybrid energy storage system[J]. Energy, 2016, 112: 322-331. doi: 10.1016/j.energy.2016.06.084 [6] ZHANG Q, WANG L J, LI G, et al. A real-time energy management control strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles[J]. Journal of Energy Storage, 2020, 31: 101721. doi: 10.1016/j.est.2020.101721 [7] 赵秀春, 郭戈. 混合动力电动汽车能量管理策略研究综述[J]. 自动化学报, 2016, 42(3): 321-334.ZHAO X C, GUO G. Survey on energy management strategies for hybrid electric vehicles[J]. Acta Automatica Sinica, 2016, 42(3): 321-334. (in Chinese) [8] 王琪, 孙玉坤. 一种混合动力汽车复合电源能量管理系统控制策略与优化设计方法研究[J]. 中国电机工程学报, 2014, 34(S1): 195-203.WANG Q, SUN Y K. Research on the control strategy and optimization of energy management system of hybrid energy storage in a hybrid electric vehicle[J]. Proceedings of the CSEE, 2014, 34(S1): 195-203. (in Chinese) [9] 陈欢, 林程, 熊瑞. 车用复合电源系统在线自适应能量管理[J]. 电工技术学报, 2020, 35(S2): 644-651.CHEN H, LIN C, XIONG R. Online adaptive energy management strategy for a hybrid energy storage system in electric vehicles[J]. Transactions of China Electrotechnical Society, 2020, 35(S2): 644-651. (in Chinese) [10] HU J J, JIANG X Y, JIA M X, et al. Energy management strategy for the hybrid energy storage system of pure electric vehicle considering traffic information[J]. Applied Sciences, 2018, 8(8): 1266. doi: 10.3390/app8081266 [11] WANG Y Z, WANG W D, ZHAO Y L, et al. A fuzzy-logic power management strategy based on markov random prediction for hybrid energy storage systems[J]. Energies, 2016, 9(1): 25. doi: 10.3390/en9010025 [12] 胡杰, 王明, 刘迪, 等. 基于交通信息的复合电源系统控制策略优化[J]. 汽车工程, 2021, 43(5): 675-682.HU J, WANG M, LIU D, et al. Optimization of control strategy for hybrid power system based on traffic information[J]. Automotive Engineering, 2021, 43(5): 675-682. (in Chinese) [13] 汪伟, 罗金, 王汝佳, 等. 纯电动汽车工况识别和能量控制策略研究[J]. 机械科学与技术, 2021, 40(9): 1444-1450.WANG W, LUO J, WANG R, et al. Research on operating condition identification and energy control strategy of pure electric vehicle[J]. Mechanical Science and Technology for Aerospace Engineering, 2021, 40(9): 1444-1450. (in Chinese) [14] 安小宇, 李元丰, 孙建彬, 等. 基于模糊逻辑的电动汽车双源混合储能系统能量管理策略[J]. 电力系统保护与控制, 2021, 49(16): 135-142.AN X Y, LI Y F, SUN J B, et al. Energy management strategy of a dual-source hybrid energy storage system for electric vehicles based on fuzzy logic[J]. Power System Protection and Control, 2021, 49(16): 135-142. (in Chinese) [15] 宋绍剑, 魏泽, 刘延扬, 等. 锂电池和超级电容混合电动汽车的能量管理[J]. 控制工程, 2019, 36(12): 2272-2277.SONG S J, WEI Z, LIU Y Y, et al. Research on energy management for ultracapacitor/lithium battery hybrid electric vehicles[J]. Control Engineering of China, 2019, 36(12): 2272-2277. (in Chinese) [16] 谢星, 周苏, 王廷宏, 等. 基于Cruise/Simulink的车用燃料电池/蓄电池混合动力的能量管理策略仿真[J]. 汽车工程, 2010, 32(5): 373-378.XIE X, ZHOU S, WANG T H, et al. A Simulation on energy management strategy for the power system of a fuel cell/battery HEV based on Cruise/Simulink[J]. Automotive Engineering, 2010, 32(5): 373-378. (in Chinese) [17] HU J, LIU D, DU C Q, et al. Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition[J]. Energy, 2020, 198: 117298. doi: 10.1016/j.energy.2020.117298 [18] 卢东斌, 欧阳明高, 谷靖, 等. 电动汽车永磁同步电机最优制动能量回馈控制[J]. 中国电机工程学报, 2013, 33(3): 83-91.LU D B, OUYANG M G, GU J, et al. Optimal regenerative braking control for permanent magnet synchronous motors in electric vehicles[J]. Proceedings of the CSEE, 2013, 33(3): 83-91. (in Chinese) [19] 王峰, 方宗德, 祝小元. 纯电动汽车新型动力传动装置的匹配仿真与优化[J]. 汽车工程, 2011, 33(9): 805-808.WANG F, FANG Z D, ZHU X Y. Matching, simulation and optimization of the new power transmission device for an electric vehicle[J]. Automotive Engineering, 2011, 33(9): 805-808. (in Chinese) [20] 朱福顺, 何洪文, 林逸, 等. 基于CRUISE的复合电源能量管理系统研究[J]. 计算机仿真, 2013, 30(1): 219-222. doi: 10.3969/j.issn.1006-9348.2013.01.051ZHU F S, HE H W, LIN Y, et al. Study on energy management system for hybrid power system based on CRUISE[J]. Computer Simulation, 2013, 30(1): 219-222. (in Chinese) doi: 10.3969/j.issn.1006-9348.2013.01.051 [21] 曾小华, 王庆年, 宋大凤. 汽车功率需求的简单求解方法[J]. 吉林大学学报(工学版), 2011, 41(3): 613-617.ZENG X H, WANG Q N, SONG D F. Simplified method to solve vehicle power demand[J]. Journal of Jilin University(Engineering and Technology Edition), 2011, 41(3): 613-617. (in Chinese) [22] 祖炳洁, 马驰, 高坤. 纯电动汽车动力传动参数的设计与计算[J]. 农业装备与车辆工程, 2021, 59(7): 50-53. doi: 10.3969/j.issn.1673-3142.2021.07.012ZU B J, MA C, GAO K. Design and calculation of power transmission parameters of pure electric vehicle[J]. Agricultural Equipment & Vehicle Engineering, 2021, 59(7): 50-53. (in Chinese) doi: 10.3969/j.issn.1673-3142.2021.07.012 [23] LIU C, WANG Y J, WANG L, et al. Load-adaptive real-time energy management strategy for battery/ultracapacitor hybrid energy storage system using dynamic programming optimization[J]. Journal of Power Sources, 2019, 438: 227024. doi: 10.1016/j.jpowsour.2019.227024 [24] HU T D, LI Y W, ZHANG Z, et al. Energy management strategy of hybrid energy storage system based on road slope information[J]. Energies, 2021, 14(9): 2358. doi: 10.3390/en14092358