复合电源电动汽车双模糊控制能量管理策略设计

杨磊; 白志峰; 王娟; 黄琳

doi:10.13433/j.cnki.1003-8728.20220238

复合电源电动汽车双模糊控制能量管理策略设计

doi: 10.13433/j.cnki.1003-8728.20220238

1.
西安建筑科技大学机电工程学院，西安　710055

基金项目: 西安市自然科学基金项目（XA2020-CXRCFW-0247）与西安市清洁能源重点实验室项目（2019219914SYS014CG036）

详细信息

作者简介:
杨磊，硕士研究生，yang30yl@163.com

通讯作者:
王娟，教授，博士生导师，juanwang@xauat.edu.cn

中图分类号: U469.72
计量
- 文章访问数: 65
- HTML全文浏览量: 31
- PDF下载量: 6
- 被引次数: 0
出版历程
- 收稿日期: 2022-01-19
- 网络出版日期: 2024-03-08
- 刊出日期: 2024-02-01

Energy Management Strategy Design for Double Fuzzy Control of Hybrid Storage Electric Vehicle

1.
School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China

摘要

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。
- 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.
- energy management strategy /
- supercapacitor /
- AVL CRUISE /
- double fuzzy control

HTML全文

图 1 电容半主动式结构

Figure 1. Capacitor semi-active structure

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图 2 复合电源电动汽车模型

Figure 2. The model of Hybrid Storage Electric Vehicle

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图 3 能量管理策略结构图

Figure 3. The structure of energy management strategy

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图 4 加速意图识别输入输出隶属度函数

Figure 4. The input-output membership function of acceleration intention recognition

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图 5 能量管理策略逻辑框图

Figure 5. The logical block diagram of energy management strategy

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图 6 循环工况

Figure 6. Cycle conditions

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图 7 复合电源系统能量管理控制策略 Simulink 模型

Figure 7. The Simulink model of energy management strategy for hybrid storage electric system

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图 8 锂电池与超级电容电流变化图

Figure 8. The current changes of lithium battery and supercapacitor

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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

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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

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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

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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

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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
加速意图		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

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表 6 K₁控制规则表

Table 6. K₁ control rules

K₁		P
K₁		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

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表 7 K₂输出规则表

Table 7. K₂ control rules

K₂		P
K₂		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

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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

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