[1]
|
胡杰, 刘迪, 杜常清, 等. 电动汽车复合能源系统能量管理策略研究[J]. 机械科学与技术, 2020, 39(10): 1606-1614 doi: 10.13433/j.cnki.1003-8728.20190303HU J, LIU D, DU C Q, et al. Study on energy management strategy of hybrid energy storage system for electric vehicles[J]. Mechanical Science and Technology for Aerospace Engineering, 2020, 39(10): 1606-1614 (in Chinese) doi: 10.13433/j.cnki.1003-8728.20190303
|
[2]
|
高建树, 刘浩, 王明强, 等. 改进粒子滤波算法对电动汽车电池SOC的估计[J]. 机械科学与技术, 2017, 36(9): 1428-1433 doi: 10.13433/j.cnki.1003-8728.2017.0919GAO J S, LIU H, WANG M Q, et al. An improved particle filter algorithm for SOC estimation of electric vehicle battery[J]. Mechanical Science and Technology for Aerospace Engineering, 2017, 36(9): 1428-1433 (in Chinese) doi: 10.13433/j.cnki.1003-8728.2017.0919
|
[3]
|
CHEN Z H, SUN H, DONG G Z, et al. Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries[J]. Journal of Power Sources, 2019, 414(28): 158-166
|
[4]
|
刘征宇, 朱诚诚, 尤勇, 等. 面向SOC估计的计及温度和循环次数的锂离子电池组合模型[J]. 仪器仪表学报, 2019, 40(11): 117-127 https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201911015.htmLIU Z Y, ZHU C C, YOU Y, et al. A Lithium-ion battery combined model considering temperature and cycle times for SOC estimation[J]. Chinese Journal of Scientific Instrument, 2019, 40(11): 117-127(in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201911015.htm
|
[5]
|
朱瑞, 段彬, 温法政, 等. 基于分布式最小二乘法的锂离子电池建模及参数辨识[J]. 机械工程学报, 2019, 55(20): 85-93 https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201920010.htmZHU R, DUAN B, WEN F Z, et al. Lithium-ion battery modeling and parameter identification based on decentralized least squares method[J]. Journal of Mechanical Engineering, 2019, 55(20): 85-93(in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201920010.htm
|
[6]
|
刘毅, 谭国俊, 何晓群. 优化电池模型的自适应Sigma卡尔曼荷电状态估算[J]. 电工技术学报, 2017, 32(2): 108-118 https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS201702013.htmLIU Y, TAN G J, HE X Q. Optimized battery model based adaptive Sigma Kalman filter for state of charge estimation[J]. Transactions of China Electrotechnical Society, 2017, 32(2): 108-118 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS201702013.htm
|
[7]
|
谷苗, 夏超英, 田聪颖. 基于综合型卡尔曼滤波的锂离子电池荷电状态估算[J]. 电工技术学报, 2019, 34(2): 419-426 https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS201902022.htmGU M, XIA C Y, TIAN C Y. Li-ion battery state of charge estimation based on comprehensive Kalman filter[J]. Transactions of China Electrotechnical Society, 2019, 34(2): 419-426 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS201902022.htm
|
[8]
|
孔祥创, 赵万忠, 王春燕. 基于BP-EKF算法的锂电池SOC联合估计[J]. 汽车工程, 2017, 39(6): 648-652 https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201706007.htmKONG X C, ZHAO W Z, WANG C Y. Co-estimation of lithium battery SOC based on BP-EKF algorithm[J]. Automotive Engineering, 2017, 39(6): 648-652(in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201706007.htm
|
[9]
|
LIU F, MA J, SU W X, et al. SOC estimation based on data driven exteaded Kalman filter algorithm for power battery of electric vehicle and plug-in electric vehicle[J]. Journal of Central South University, 2019, 26(6): 1402-1415 doi: 10.1007/s11771-019-4096-5
|
[10]
|
王维强, 张吉, 张力, 等. 基于3阶RC网络的等效电路电池模型[J]. 电池, 2019, 49(3): 212-216 https://www.cnki.com.cn/Article/CJFDTOTAL-DACI201903011.htmWANG W Q, ZHANG J, ZHANG L, et al. Equivalent circuit model for battery based on third-order RC network[J]. Battery Bimonthly, 2019, 49(3): 212-216(in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DACI201903011.htm
|
[11]
|
贾依达尔·热孜别克, 袁逸萍, 孙文磊, 等. 根据PCA-GA-Elman的风机齿轮箱轴承温度预测[J]. 机械科学与技术, 2020, 39(11): 1671-1675 doi: 10.13433/j.cnki.1003-8728.20190311JAYIDAER R, YUAN Y P, SUN W L, et al. Temperature prediction of wind turbine gearbox bearing based on PCA-GA-Elman[J]. Mechanical Science and Technology for Aerospace Engineering, 2020, 39(11): 1671-1675 (in Chinese) doi: 10.13433/j.cnki.1003-8728.20190311
|
[12]
|
唐新华. 考虑横向载荷转移的4WID-EVs侧向力及侧偏刚度估计[J]. 机械科学与技术, 2020, 39(3): 367-373 doi: 10.13433/j.cnki.1003-8728.20190147TANG X H. Lateral tire forces and cornering stiffness estimation of 4WID-EVs considering lateral load transfer[J]. Mechanical Science and Technology for Aerospace, 2020, 39(3): 367-373 (in Chinese) doi: 10.13433/j.cnki.1003-8728.20190147
|
[13]
|
何飞, 双丰, 许玉云, 等. 双渐消Kalman滤波补偿六维力传感器矩形板噪声模型误差[J]. 机械科学与技术, 2019, 38(4): 594-600 doi: 10.13433/j.cnki.1003-8728.20180207HE F, SHUANG F, XU Y Y, et al. Model error compensation of double-fading Kalman filtering to rectangular board of six-axis force sensors[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(4): 594-600 (in Chinese) doi: 10.13433/j.cnki.1003-8728.20180207
|
[14]
|
JIANG X Y, LI S. BAS: Beetle antennae search algorithm for optimization problem[J]. International Journal of Robotics and Control, 2018, 1(1): 1-5 doi: 10.5430/ijrc.v1n1p1
|
[15]
|
闫重熙, 陈皓. 基于改进天牛须搜索算法优化LSSVM短期电力负荷预测方法研究[J]. 电测与仪表, 2020, 57(6): 6-11, 18 https://www.cnki.com.cn/Article/CJFDTOTAL-DCYQ202006002.htmYAN C X, CHEN H. Research of LSSVM short-term load forecasting method based on the improved beetle antennae search algorithm[J]. Electrical Measurement & Instrumentation, 2020, 57(6): 6-11, 18 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DCYQ202006002.htm
|
[16]
|
李伟, 刘伟嵬, 邓业林. 基于扩展卡尔曼滤波的锂离子电池荷电状态估计[J]. 中国机械工程, 2020, 31(3): 321-327, 343 doi: 10.3969/j.issn.1004-132X.2020.03.010LI W, LIU W W, DENG Y L. SOC estimation for lithium-ion batteries based on EKF[J]. China Mechanical Engineering, 2020, 31(3): 321-327, 343 (in Chinese) doi: 10.3969/j.issn.1004-132X.2020.03.010
|
[17]
|
丁镇涛, 邓涛, 李志飞, 等. 基于安时积分和无迹卡尔曼滤波的锂离子电池SOC估算方法研究[J/OL]. 中国机械工程, 2020: 1-9[2020-05-15]. http://kns.cnki.net/kcms/detail/42.1294.TH.20200514.1627.002.htmlDING Z T, DENG T, LI Z F, et al. Based on an ampere-hour integral and no trace lithium ion battery SOC estimation method of kalman filtering research[J/OL]. China Mechanical Engineering, 2020: 1-9. [2020-05-15] http://kns.cnki.net/kcms/detail/42.1294.TH.20200514.1627.002.html (in Chinese)
|