教师队伍

教授(研究员)

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  • 林歆悠

    性 别 :男

    出生年月:1981年11月

    系 别:车辆工程系

    学 位:博士

    职 称:教授(校聘)/博士生导师

  • 详细资料

    通讯地址:福建省福州市tyc1286太阳成集团城乌龙江北大道2号邮编:350108

    电子邮箱:linxinyoou@fzu.edu.cn;linxyfzu@126.com

    教育工作经历

    2012/03-至今,tyc1286太阳成集团,机械工程及自动化学院,讲师、副教授/教授(校聘)

    2016/04-2017/04,美国西弗吉尼亚大学,访问学者

    2006/09-2011/12,重庆大学,机械传动国家重点实验室,硕士、博士

    社会兼职

    担任国家自然科学基金同行评审专家,以及担任国内高水平期刊《中国公路学报》及《Applied Energy》《Energy Conversion and Management》《Energy》《IEEETransactions on Intelligent Transportation Systems》《IEEE Transactions on Industrial Electronics》和《Proc. IMechE. Part D: Journal of Automobile Engineering》国际知名学术期刊同行评审。

    研究领域(研究方向)

    1.新能源汽车电驱动控制策略

    2.智能驾驶轨迹追踪与转向决策控制

    3.融合燃料电池衰退和动态特性的能量管理策略

    主要科研项目(近五年)

    1.融合多信息空间化动力源衰退的FCHEV多目标动态权衡智能控制方法,国家自然科学基金面上项目,2023-01至2026-12,在研,主持

    2.融合动力源性能衰退在线辨识的燃料电池汽车增强学习智能控制策略,福建省自然科学基金面上项目,2020-11至2023-11,在研,主持

    3.随机混杂预测控制的插电式混合动力系统能量管理控制机理,国家自然科学基金项目,51505086,2016/01-2018/12,结题,主持

    4.融合非线性补偿模型预测的智能驾驶车速自适应转向跟踪控制策略,检测技术与节能装置安徽省重点实验室开放研究基金项目,JCKJ2021A04,2022-01至2023-12,在研,主持

    5.面向智能驾驶的全线控底盘动态自适应域控制研究,福建省自然科学基金面上项目,2021J01559,2021-11至2024-11,在研,参与

    6.新能源汽车驱动系统控制技术与试验研究,企业横向课题,2015-4-2016-05,主持

    7.燃料电池混合动力电动汽车能量管理工况自适应控制策略研究,晋江市福大科教园区发展中心科研项目,2019-JJFDKY-10,2019.12-2020.12,在研,主持

    8.燃料电池混合电动汽车智能控制策略研究,汽车零部件先进制造技术教育部重点实验室开放课题项目,2019KLMT06,2019.11-2021.11,在研,主持

    9.基于ECMS的插电式混合动力汽车自适应控制策略研究,省部级平台开放课题,K201710,2018.1-2019.12,结题,主持

    10.融合液压软开关的新一源多驱型多轴转向系统节能机理与控制,国家自然科学基金(面上)项目,51975122,2020.01-2023.12,在研,参加

    11.实现多轴车辆纯滚动转向的新型变胞梯形驱动及多执行器电液伺服控制,国家自然科学基金项目,51405084,2015/01-2017/12,结题,参加

    代表性论著

    期刊论文

    (1)Sun Dongye,Lin Xinyou, Qin Datong and Deng Tao. Power-Balancing Instantaneous Optimization Control Strategy for a Novel Series-parallel Hybrid Electric Bus,Chinese Journal of Mechanical Engineering, 2012,25(6): 1161-1170, SCI.

    (2)Lin Xinyou,Zhou Binhao, Xia Yutian. Online Recursive Power Management Strategy based on the Reinforcement Learning Algorithm with Cosine Similarity and a Forgetting Factor,IEEE Transactions on Industrial Electronics, 2021,68(6):5013-5023.(SCI中科院一区,国际顶级期刊,影响因子:7.7)

    (3)Lin Xinyou,Zhou Kuncheng, Mo Liping and Li Hailin. Intelligent Energy Management Strategy Based on an Improved Reinforcement Learning Algorithm With Exploration Factor for a Plug-in PHEV,IEEE Transactions on Intelligent Transportation Systems,2022,23(7):8725-8735.(SCI中科院一区,影响因子:8.5)

    (4)Lin Xinyou,Tang Yunliang and Zhou Binhao.Improved Model Predictive Control Path Tracking Strategy Based an Online UpdatingAlgorithm With Cosine Similarity and a Horizon Factor,IEEE Transactions on Intelligent Transportation Systems,2022, 23(8):12429-12437(SCI中科院一区,影响因子:8.5)

    (5)Lin Xinyou,Xu Xinhao, Wang Zhaorui.Deep Q-learning network based trip pattern adaptive battery longevity-conscious strategy of plug-in fuel cell hybrid electric vehicle,Applied Energy, 2022, 321:119378.(SCI中科院一区,影响因子:11.2)

    (6)Lin Xinyou, Wei S., and Wu J. The Tradeoff Power Distribution Strategy Based On the Ga-Pareto for a Dual-Motor Coupling-Propulsion Electric Vehicle.ASME.J. Dyn. Sys., Meas., Control,2022, 144: 061003

    (7)Lin Xinyou, Li Y., Zhang G.,Bi-objective optimization strategy of energy consumption and shift shock based driving cycle-aware bias coefficients for a novel dual-motor electric vehicle,Energy, 2022, 249:123596. (中科院一区,影响因子:9)

    (8)LinXinyou, Wu Jiayun and Wei Yimin. An ensemble learning velocity prediction-based energy management strategy for a plug-in hybrid electric vehicle considering driving pattern adaptive reference SOC,Energy, 2021, 234: 121308(SCI中科院一区,影响因子:9)

    (9)LinXinyou, Zeng Songrong and Li Xuefan. Online Correction Predictive Energy ManagementStrategy using the Q-learning based Swarm Optimization with Fuzzy Neural Network,Energy, 2021,223:120071.(SCI中科院一区,影响因子:9)

    (10)Lin Xinyou,XiaYutian,Huang Wei and Li Hailin.Trip distance adaptive power prediction control strategy optimization for a plug-in fuel cell electric vehicle,Energy,2021, 224:120232.(SCI中科院一区,影响因子:9)

    (11)Lin Xinyou,Li Kuiliang, Wang liming. A driving-style-oriented adaptive control strategy based PSO-fuzzy expert algorithm for a plug-in hybrid electric vehicle,Expert Systems With Applications, 2022, 201:117236.(SCI中科院一区,影响因子:8.5)

    (12)Lin Xinyou, Xu Xinhao, Lin Haibo. Predictive-ECMS based degradation protective control strategy for a fuel cell hybrid electric vehicle considering uphill condition.eTransportation, 2022,12:100168.(影响因子:11.9)

    (13)Lin Xinyou, Zhang Guangji and Wei Shenshen. Velocity prediction using Markov Chain combined with driving pattern recognition and applied to Dual-Motor Electric Vehicle energy consumption evaluation,Applied Soft Computing, 2021, 101:106998.(影响因子:8.7)

    (14)Lin Xinyou, Lin Zhili and Wei Shenshen. Multi-objective optimized driving strategy of dual-motor EVs using NSGA-II as a case study and comparison of various intelligent algorithms,Applied Soft Computing, 2021, 111:107684.(影响因子:8.7)

    (15)Lin Xinyou, Wang Zhaorui, Zeng Songrong, et al., Real-time optimization strategy by using sequence quadratic programming with multivariate nonlinear regression for a fuel cell electric vehicle,International Journal of Hydrogen Energy,2021, 46(21): 13240-13251.(影响因子:7.2)

    (16)Lin Xinyou,LiXuefan, Shen Ying and Li Hailin. Charge depleting range dynamic strategy with power feedback considering fuel-cell degradation,Applied Mathematical Modelling, 2020, 80:345-365.(影响因子:5)

    (17)Lin Xinyou,Li Yalong and Xia Bin. An online driver behavior adaptive shift strategy for two-speed AMT electric vehicle based on dynamic corrected factor,Sustainable Energy Technologies and Assessments, 2021, 48:101598.(影响因子:7.632)

    (18)Lin Xinyou, Tang Yunliang, Ren Jin and Wei Yimin. State of charge estimation with the adaptive unscented Kalman filter based on an accurate equivalent circuit model,Journal of Energy Storage, 2021, 41:102840.(影响因子:9.4)

    (19)Lin Xinyou, Zhang Jiajin. Battery aging-aware energy management strategy with dual-state feedback for improving life cycle economy by using multi-neural networks learning algorithm.Journal of Energy Storage, 2022, 46:103890.(影响因子:9.4)

    (20)Lin Xinyou,Zhang Jiajin,Su Lian.A trip distance adaptive real-time optimal energy management strategy for a plug-in hybrid vehicle integrated driving condition prediction,Journal of Energy Storage, 2022, 52(Part C):105055.(影响因子:9.4)

    (21)Lin Xinyou,Zhou KC and Li Hailin. All-electric Range Adaptive Control Strategy via Energy Prediction for Plug-in HEV.IET Intelligent Transport Systems, 2019,13(12):1822-1831.

    (22)Lin Xinyou,Hailin Li.Adaptive control strategy extracted from dynamic programming and combined with driving pattern recognition for SPHEB,International Journal of Automotive Technology,2019, 20(5):1009-1022.

    (23)Lin Xinyou,Feng QG,Mo LP and Li HL . Optimal adaptation equivalent factor of energy management strategy for plug-in CVT HEV.Proc IMechE Part D: Journal of Automobile Engineering, 2019, 233(4): 877-889.

    (24)Lin Xinyou, Wang ZR and Wu JY.Energy management strategy based on velocityprediction using back propagation neural networkfor a plug-in fuel cell electric vehicle.Int J EnergyRes. 2021, 45:2629–2643

    (25)Lin Xinyou, Zhang GJ, Wei SS and Yin YL. Energy consumption estimation model for dual-motor electric vehicles based on multiple linear regression,Int J Green Energy,2020, 17(8): 488-500.

    (26)Wei Qi, YJ Li, Hailin Li, Scott W. Wayne andXinyou Lin. The development and numerical verification of a compromised real time optimal control algorithm for hybrid electric vehicle.Journal of Power Sources, 443 (2019): 227272.

    (27)Lin Xinyou, Zhai LQ and Lin HB. Investigation of Real-time Adaptive Energy Management Strategy for a Series-Parallel Hybrid Electric Bus.IntJElectric and Hybrid Vehicles, 2016, 8(3): 195-212.

    (28)林歆悠,郑清香,吴超宇.基于GA-ECMS电机转矩优化的混合动力系统协调控制,机械工程学报,2020,56(2):145-153.

    (29)林歆悠,冯其高,张少博.等效因子离散全局优化的等效燃油瞬时消耗最小策略能量管理策略,机械工程学报,2016,52(20):102-110.

    (30)林歆悠,李雪凡,林海波.考虑燃料电池衰退的FCHEV反馈优化控制策略,中国公路学报,2019,32(5):153-161.

    (31)林歆悠,吴超宇,林海波.基于遗传算法系统效率优化的PHEV电量保持模式控制策略,中国公路学报,2018,31(05):174-182.

    (32)林歆悠,夏玉田,李雪凡,林海波.燃料电池汽车行驶里程自适应ECMS策略,汽车工程,2019,41(7):750-756.

    (33)林歆悠,林海波,翟柳清,等.基于PSO-fuzzy的PHEV电量保持模式多目标控制策略,中国公路学报,2016,29(10):132-139.

    (34)林歆悠,黄强,张光吉.基于PSO的新型双电机多模式驱动系统转矩分配策略优化,汽车工程,2022,44(8):1218-1225.

    (35)林歆悠,伍家鋆,魏申申.双电机耦合驱动电动汽车驱动模式划分与优化,汽车工程,2020,42(4):424-430.

    (36)林歆悠周斌豪,夏玉田.融合动态能耗与路网信息的电动汽车充电路径规划策略,中国机械工程,2021,32(6):705-713.

    (37)林歆悠,苏炼,郑清香.应用模型预测控制的混合动力汽车模式切换动态协调控制,控制理论与应用,2020,37(4):897-906.

    (38)林歆悠,王召瑞.应用粒子群算法优化模糊规则的自适应多目标控制策略,控制理论与应用,2021,38(6):842-850.

    (39)林歆悠,叶常青,苏炼.基于Pareto的电池容量衰退权衡优化控制策略,工程科学学报,2022, 44(11):1988-1997.

    发明专利授权:

    (1)林歆悠;王黎明;莫李平;吴超宇;郑清香;一种基于ITS系统的插电式混合动力汽车能量管理方法,2020-08-11,中国,ZL201810218954.8

    (2)林歆悠;吴超宇;翟柳清;林海波;莫李平;一种基于LabVIEW-Matlab驾驶员风格识别与反馈系统及方法,2019-02-22,中国,ZL201610852480.3

    (3)林歆悠;王召瑞;伍家鋆;周斌豪;张光吉;一种混合动力汽车增强学习能量管理控制方法,2020-10-09,中国,ZL201910573379.8

    (4)林歆悠;伍家鋆;王召瑞;张光吉;周斌豪;一种融合驾驶员偏好的纯电动汽车驾驶辅助系统优化方法,2021-04-27,中国,ZL201910939997.X

    (5)林歆悠;郑清香;莫李平;李海波;王黎明;考虑多目标的行星齿轮混合动力系统动态协调控制方法,2017-04-26,中国,ZL201611174069.1

    (6)林歆悠;夏玉田;莫李平;吴超宇;李雪凡;大数据采集与处理系统及基于其电动汽车续航估计方法,2020-05-08,中国,ZL201710168735.9

    (7)林歆悠;魏申申;吴超宇;王黎明;一种双电机双模耦合电动车驱动系统,2019-04-02,中国,ZL201710200309.9

    (8)林歆悠;莫李平;冯其高;吴超宇;郑清香;基于工况识别的里程自适应混合动力汽车能量管理方法,2019-05-10,中国,ZL201610372917.3

    (9)林歆悠,任静,周坤城,苏炼,夏斌;一种可适用于动力电池互换模块化的PHEV分布式控制方法,2019-12-31,中国,ZL201810682004.0

    (10)林歆悠,王黎明,郑清香,夏玉田,魏申申;基于瞬时能量消耗最小的双电机纯电动汽车能量管理方法,2019-04-02,中国,ZL201710144727.0

    (11)林歆悠,冯其高,张少博,薛瑞.一种插电式多模混合动力轿车驱动系统硬件结构,2014.09,中国,申请号:201420213759.3.

    (12)林歆悠,冯其高,张少博,薛瑞.一种插电式混合动力汽车工况识别及能量管控的方法,2014.10,中国,申请号:201410176388.0.

    (13)林歆悠,林海波,冯其高,翟柳清,张少博.一种锂离子电池组单体布置结构的优化方法,2015.01,中国,申请号:CN201510040309.8

    (14)林歆悠,林海波;翟柳清;冯其高;张少博.一种基于人-车-路闭环控制的新能源汽车试验系统,2015.04,中国,申请号:CN201510179244.5

    (15)彭育辉,陈剑雄,林歆悠一种双燃料发动机油门开度检测装置及其安装方法,2013.07,中国,申请号:201310101490.X.

    (16)彭育辉,刘康林,陈剑雄,林歆悠,一种油气混合双燃料发动机的天然气供气结构,2013.8,中国,申请号:201320143900.2.

    获奖情况

    (1)2020年福建省科学技术进步奖:“新能源电动客车关键技术研究与产业化应用”三等奖,排名第三;

    (2)获2021年福建省优秀硕士毕业论文指导老师;

    (3)2021年第六届tyc1286太阳成集团“阳光奖教金”;

    (4)2020年度tyc1286太阳成集团tyc1286太阳成集团“林泽权教书育人奖教金”;

    (5)入选“领跑者5000”中国精品科技期刊顶尖学术论文1篇;

    (6)2015、2018、2021年优秀硕士毕业论文指导教师;

    (7)2015、2020年优秀本科毕业论文指导教师;

    指导硕、博士生研究方向

    1.新能源(燃料电池、插电混合动力)电动汽车能量管理控制策略

    2.智能驾驶电动汽车轨迹追踪与转向控制

    3.智能汽车拟人化驾驶转向控制

    4.网联化电动汽车路径规划与生态驾驶策略