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郭露露,同济大学特聘研究员,博士生导师。分别于2014年和2019年在吉林大学车辆工程及控制理论与控制工程专业获工学学士和工学博士学位,2019-2021年于美国佐治亚大学进行博士后研究,2021年9月至今任同济大学电子与信息工程学院特聘研究员。长期从事汽车智能节能、非线性模型预测控制、汽车信息与控制安全、自动驾驶等方面的研究工作。发表IEEE、ASME汇刊SCI论文40余篇,是ITEC、CVCI、CAC、SAECCE等的程序委员会和会场主席,担任吉林省汽车电子协会信息安全技术标准体系起草专家等。主持NSFC青年基金项目1项,NSFC联合基金重点项目1项,以及上海市科委项目等10余项。获2020年中国自动化学会优秀博士学位论文奖、2021中国自动化学会技术发明一等奖(排3)、2024吉林省技术发明一等奖(排4),入选第七届中国科协青年人才托举工程、上海市海外高层次领军人才、上海市2022年启明星扬帆专项。
[1] 国家自然科学基金委员会, 联合基金重点项目, 列车多功能融合的一体化协同控制方法研究, 在研, 主持
[2] 国家自然科学基金委员会, 青年科学基金项目, 数据-机理混合增强的网联电动汽车机-电-热耦合节能控制, 在研, 主持
[3] 联合汽车电子有限公司, 企业委托技术开发项目, 网联环境下新能源汽车能量热量一体化管理技术, 在研, 主持
[4]东风商用车技术中心, 企业委托技术开发项目, 基于MPC的预见性能量管理控制技术, 在研, 主持
[5] 中国自动化学会, 第七届中国科协青年人才托举工程, 网联汽车动力系统的节能优化与控制安全, 结题, 主持
1. Ma B, Chu F, Guo L*, et al. Real-time predictive controlfor EVs cabin thermal management considering air quality[J]. IEEE Transactionson Transportation Electrification, 2023.
2. Fan X, Guo L*, Hong J, et al. Constrained hierarchicalhybrid q-network for energy management of HEVs[J]. IEEE Transactions onTransportation Electrification, 2024.
3. Yang H, Hu Y, Gong X, Cao R, Guo L*, et al. Energymanagement strategy for fuel cell hybrid electric vehicles considering theinaccuracy of predicted vehicle speed[J]. IEEE Transactions on TransportationElectrification, 2024.
4. Sun M, Guo L*, Wang Y, et al. Mixed-integer optimal controlfor switching powertrain system with dwell-time constraints[J]. IEEETransactions on Control Systems Technology, 2024, 32(3): 1082-1089.
5. Chu H, Zhuang H, Wang W, Na X, Guo L*, et al. A Review ofdriving style recognition methods from short-term and long-termperspectives[J]. IEEE Transactions on Intelligent Vehicles, 2023, 8(11):4599-4612.
6. Wu W, Guo L*, Chen H. Mixed H∞/passiveexponential synchronization for delayed memristive neural networks withswitching event-triggered control[J]. Journal of Systems Science andComplexity, 2024, 37(1): 294-317.
7. Guo L, Ma B, Gong X, et al. Bilevel predictive control for HEVsintegrating energy and cabin thermal comfort[J]. IEEE Transactions onTransportation Electrification, 2024, 10(1): 623-634. (第1单位同济大学)
8. Guo L, Shan C, Shi T, et al. A vectorized representation model fortrajectory prediction of intelligent vehicles in challenging scenarios[J]. IEEETransactions on Intelligent Vehicles, 2023, 8(10): 4301-4306.
9. Guo L, Sun M, Hu Y, et al. Optimization of fuel economy and emissionsthrough coordinated energy management for connected diesel vehicles[J]. IEEETransactions on Intelligent Vehicles, 2023, 8(6): 3593-3604.
10. Guo L, Chu H, Ye J, et al. Hierarchical velocity control consideringtraffic signal timings for connected vehicles[J]. IEEE Transactions onIntelligent Vehicles, 2022, 8(2): 1403-1414.
11. Guo L, Yang B, Ye J. Predictive energy management for dual-motor BEVsconsidering temperature-dependent traction inverter loss[J]. IEEE Transactionson Transportation Electrification, 2021, 8(1): 1501-1515.
12. Guo L, Yang B, Ye J, et al. Attack-resilient lateral stability controlfor four-wheel-driven EVs considering changed driver behavior under cyberthreats[J]. IEEE Transactions on Transportation Electrification, 2021, 8(1):1362-1375.
13. Guo L, Ye J, Yang B. Cyberattack detection for electric vehicles usingphysics-guided machine learning[J]. IEEE Transactions on TransportationElectrification, 2021, 7(3): 2010-2022.
14. Guo L, Ye J, Du L. Cyber–physical security of energy-efficientpowertrain system in hybrid electric vehicles against sophisticatedcyberattacks[J]. IEEE Transactions on Transportation Electrification, 2020,7(2): 636-648.
15. Guo L, Chen H, Gao B, et al. Energy management of HEVs based onvelocity profile optimization[J]. Sci. China Inf. Sci., 2019, 62(8):89203:1-89203:3.
16. Guo L, Gao B, Li Y, et al. A fast algorithm for nonlinear modelpredictive control applied to HEV energy management systems[J]. Science China InformationSciences, 2017, 60: 1-17.
17. Guo L, Gao B, Liu Q, et al. On-line optimal control of the gearshiftcommand for multispeed electric vehicles[J]. IEEE/ASME Transactions onMechatronics, 2017, 22(4): 1519-1530.
18. Guo L, Gao B, Chen H. Online shift schedule optimization of 2-speedelectric vehicle using moving horizon strategy[J]. IEEE/ASME Transactions onMechatronics, 2016, 21(6): 2858-2869.
招收有意向进行列车控制相关研究、基于FPGA等自动驾驶软硬件加速算法研究、多智能体协同控制研究的博士、硕士研究生,有相关研究经验和成果优先。

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