基于Radau伪谱法的复合电源电动汽车能量管理策略优化*

doi:10.19562/j.chinasae.qcgc.2019.06.003

摘要/Abstract

摘要： 本文中提出一种基于Radau伪谱法的能量管理策略优化法,利用全局插值多项式对系统中状态变量与控制变量进行逼近,由插值多项式的导数近似动力学方程中状态变量的微分方程,将最优控制问题(OCP)转化为待优化变量的非线性规划(NLP)问题进行求解。以加入惩罚因子的电池寿命模型为目标函数,将复合电源电动汽车中的电池使用寿命(电池可循环次数)与单一电池能量源在NEDC循环工况下对比分析,结果表明,伪谱法优化的复合电源可减小电池组的安时流通,缩小电流、功率波动范围,其电池组功率、超级功率均与需求功率出现了分段的线性关系,且复合电源中电池等效寿命较单一电池能量源提高25.61%,本文中为复合电源的能量管理策略提供了一种快速、稳定的优化方法,为匹配最优系统参数奠定基础,还可作为其他优化策略的评估基准。

关键词: 电动汽车, 复合电源, 伪谱法, 能量管理

Abstract: This paper proposes an energy management strategy optimization method based on Radau pseudo-spectral method (RPM). The global interpolation polynomial is used to approximate the state variables and control variables in the system. The derivative of the interpolation polynomial approximates the differential equation of the state variables in the dynamic equation. Then the optimal control problem (OCP) is transformed into a nonlinear programming problem (NLP) problem of the variable to be optimized. Taking the battery life model with penalty factor as the objective function, the battery life (the number of battery cycles) in the hybrid energy storage system (HESS) electric vehicle is compared with that with the single battery energy source under the NEDC cycle condition. The results show that the pseudo-spectral optimized HESS can reduce the Ah throughput of the battery pack and reduce the current and power fluctuation range. The battery power and ultracapacitor power have a segmented linear relationship with the required power, and the equivalent life of the battery in the HESS is 25.61% higher than that of the single battery energy source. This paper provides a fast and stable optimization method for the energy management strategy of the HESS, which lays a foundation for matching the optimal system parameters and can be used as an evaluation benchmark for other optimization strategies.

Key words: electric vehicle, hybrid energy storage system, pseudo-spectral method, energy management

刘延伟, 朱云学, 林子越, 赵克刚, 叶杰. 基于Radau伪谱法的复合电源电动汽车能量管理策略优化^*[J]. 汽车工程, 2019, 41(6): 625-633.

Liu Yanwei, Zhu Yunxue, Lin Ziyue, Zhao Kegang, Ye Jie. Energy Management Strategy Optimization of Hybrid Energy StorageSystem Based on Radau Pseudo-spectral Method[J]. Automotive Engineering, 2019, 41(6): 625-633.

参考文献

[1] ZHANG L, HU X, WANG Z, et al. Multi-objective optimal sizing of hybrid energy storage system for electric vehicles[J]. IEEE Transactions on Vehicular Technology,2017:1-1.
[2] SONG Z, LI J, HAN X, et al. Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles[J]. Applied Energy,2014,135:212-224.
[3] 宋传学,周放,肖峰,等.基于凸优化的车载复合电源参数匹配[J].机械工程学报,2017,53(16):44-51.
[4] 吴晓刚,侯维祥,帅志斌,等.电动汽车复合储能系统的功率分配优化研究[J].电机与控制学报,2017,21(11):114-124.
[5] SANTUCCI A, SORNIOTTI A, LEKAKOU C. Power split strategies for hybrid energy storage systems for vehicular applications[J]. Journal of Power Sources,2014,258(14):395-407.
[6] ZHOU F, XIAO F, CHANG C, et al. Adaptive model predictive control-based energy management for semi-active hybrid energy storage systems on electric vehicles[J]. Energies,2017,10(7):1063.
[7] SONG Z, HOFMANN H, LI J, et al. Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach[J]. Applied Energy,2015,139:151-162.
[8] 宋传学,周放,肖峰.基于动态规划的复合电源能量管理优化[J].吉林大学学报:工学版,2017,47(1):8-14.
[9] ZHANG S, XIONG R, CAO J. Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system[J]. Applied Energy,2016,179:316-328.
[10] HE H, XIONG R, ZHAO K, et al. Energy management strategy research on a hybrid power system by hardware-in-loop experiments[J]. Applied Energy,2013,112(16):1311-1317.
[11] ELNAGAR G, KAZEMI M A, RAZZAGHI M. The pseudospectral Legendre method for discretizing optimal control problems[J]. Automatic Control IEEE Transactions on,1995,40(10):1793-1796.
[12] FAHROO F, ROSS I M. Advances in pseudospectral methods for optimal control[J]. Faculty Publications,2013.
[13] YE J, ZHAO K, LIU Y, et al. Multi-stage global trajectory optimization for the overlapping shift of a seamless two-speed transmission using Legendre pseudo-spectral method[J]. Advances in Mechanical Engineering,2017,9(12):1-13.
[14] 徐少兵,李升波,成波.无级变速器车辆经济性巡航策略的伪谱法优化[J].控制理论与应用,2014(6):693-700.
[15] GUO L, GAO B, CHEN H, et al. On-line shift schedule optimization of electric vehicles with multi-speed AMT using moving horizon strategy[C]. Control Conference. IEEE,2015:8097-8102.
[16] WEI S, ZOU Y, SUN F, et al. A pseudospectral method for solving optimal control problem of a hybrid tracked vehicle[J]. Applied Energy,2016,194:588-595.
[17] 周放.车载复合电源系统参数优化及能量管理策略研究[D].长春:吉林大学,2017.
[18] ZHAO K, LIANG Z, HUANG Y, et al. Research on a novel hydraulic/electric synergy bus[J]. Energies,2017,11(1):34.

基于Radau伪谱法的复合电源电动汽车能量管理策略优化^*

Energy Management Strategy Optimization of Hybrid Energy StorageSystem Based on Radau Pseudo-spectral Method

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 10

[1]	张念忠,宋强,王冠峰,王明生. 车用永磁同步电机无电流传感器控制研究[J]. 汽车工程, 2024, 46(2): 281-289.
[2]	焦志鹏, 马建, 赵轩, 张凯, 孟德安, 韩琪, 张昭. 基于电动汽车制动安全检测的短时工况及方法研究[J]. 汽车工程, 2024, 46(1): 109-119.
[3]	原江鑫, 何莉萍, 李耀东, 李罡. 电动汽车BMS从控板热分析及散热优化[J]. 汽车工程, 2024, 46(1): 128-138.
[4]	张鹏博, 陈仁祥, 邵毅明, 孙世政, 闫凯波. 纯电动汽车电驱动系统故障诊断研究进展[J]. 汽车工程, 2024, 46(1): 61-74.
[5]	贺伊琳,马建,杨舒凯,郑威,薛启帆. 融合预瞄特性的智能电动汽车稳定性模型预测控制研究[J]. 汽车工程, 2023, 45(5): 719-734.
[6]	梁海强,何洪文,代康伟,庞博,王鹏. 融合经验老化模型和机理模型的电动汽车锂离子电池寿命预测方法研究[J]. 汽车工程, 2023, 45(5): 825-835.
[7]	吴忠强,张长兴. 考虑配电网负荷的电动汽车分布式充电控制[J]. 汽车工程, 2023, 45(4): 598-608.
[8]	吴志恒,刘爱民. 汽车永磁同步电机切换函数式混合控制策略[J]. 汽车工程, 2023, 45(4): 619-627.
[9]	王军年,高守林,杨钫,管畅洋,杨志华. 多行星排转矩定向分配电驱动桥振动特性优化[J]. 汽车工程, 2023, 45(3): 421-429.
[10]	刘晋霞,梁志豪,王强,温明星. TTR汽车等效燃油消耗最小的能量管理策略研究[J]. 汽车工程, 2023, 45(2): 285-292.
[11]	朱成,刘頔,滕欣余,张国华,于丹,刘沙,胡苧丹. 新能源汽车综合经济性对比分析及预测研究[J]. 汽车工程, 2023, 45(2): 333-340.
[12]	李琴,汤建明,张博远,陈勇,王勇. 分布式驱动电动汽车多执行器容错控制研究[J]. 汽车工程, 2023, 45(12): 2251-2259.
[13]	于天蝉,王源,石文星,梁辰吉昱,李先庭,岑俊平,罗敏. 基于三介质换热器的电动汽车热管理系统及其性能分析[J]. 汽车工程, 2023, 45(11): 2001-2013.
[14]	宋强,王冠峰,商赫,张念忠. 基于多参数控制的分布式驱动电动汽车操纵稳定性控制策略研究[J]. 汽车工程, 2023, 45(11): 2104-2112.
[15]	洪吉超,梁峰伟,杨海旭,李克瑞. 大数据驱动动力电池智能安全管理与控制方法研究[J]. 汽车工程, 2023, 45(10): 1845-1861.