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学者姓名：陈志勇
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Abstract ：
The road gradient and trip range are of great significance in fuel consumption and emissions of a range-extended electric vehicle (REEV). However, the traditional energy management strategy failed to consider the road gradient. To address this issue, a multi-objective optimization adaptive control strategy is proposed to improve the fuel consumption and emissions of the REEVs. Firstly, a multi-objective optimization adaptive control strategy is developed based the equivalent consumption minimization strategy integrated with adaptive equivalent factor (EF). The EF is updating according to the road slope by using a proportional-integral controller. To investigate the impacts of the road gradient on emissions, the numerical models between road gradient and emissions are established. Furthermore, an optimal torque distribution strategy is proposed according to the weights of fuel and emissions, which realizes the tracking of the SOC trajectory and improves the fuel economy and emission performance of the vehicle. Finally, various strategies are carried out to verify the superiority of the proposed strategy by numerical validations. Compared with the control strategy considered fuel consumption only, the validation results show that the engine CO, HC, and NOx are reduced by 9.47, 2.33, and 4.10%, respectively, while compromising fuel economy by 3.3%.
Keyword ：
Emissions Emissions Energy management Energy management Equivalent consumption minimization strategy Equivalent consumption minimization strategy Fuel economy Fuel economy Multi-objective optimization Multi-objective optimization Range-extended electric vehicle Range-extended electric vehicle
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| GB/T 7714 | Lin, Xinyou , Chen, Zhiyong , Zhang, Jiajin et al. A Multi-objective Optimization Control Strategy of a Range-Extended Electric Vehicle for the Trip Range and Road Gradient Adaption [J]. | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY , 2024 . |
| MLA | Lin, Xinyou et al. "A Multi-objective Optimization Control Strategy of a Range-Extended Electric Vehicle for the Trip Range and Road Gradient Adaption" . | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY (2024) . |
| APA | Lin, Xinyou , Chen, Zhiyong , Zhang, Jiajin , Wu, Chaoyu . A Multi-objective Optimization Control Strategy of a Range-Extended Electric Vehicle for the Trip Range and Road Gradient Adaption . | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY , 2024 . |
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The eco-driving strategy is of great significance in driving cost for plug-in hybrid electric vehicles in driving trips, especially at signalized intersections. To address the issue of further energy saving, this study proposes an ecological approach and departure-driving strategy by using syncretic learning with trapezoidal collocation algorithm. First, a syncretic learning-based speed predictor is built by merging back propagation neural networks and radial basis function neural networks. Second, the syncretic learning-based speed predictor and trapezoidal collocation algorithm are combined to optimize the speed trajectory. Third, the torque between the engine and the motor is distributed by the dynamic programming algorithm. Then, model predictive control optimizes torque output in the control time domain. Finally, the driving interval optimization method is designed to avoid mixed-integer programming problems and redundant constraints, which make vehicles cross intersections without stopping. The numerical verification results show that the trapezoidal collocation algorithm with syncretic learning has more advantages than other methods in speed trajectory planning. Compared with the original trajectory, the driving time through the intersection is reduced and the total driving cost is lowered by 19.82%. Validation results confirm the effectiveness of the proposed strategy in energy consumption management at signalized intersections. This study proposes an ecological approach and departure-driving strategy by using syncretic learning with trapezoidal collocation algorithm. The speed predictor is combined with the trapezoidal collocation algorithm to obtain the speed trajectory with higher accuracy. The driving interval optimization method is proposed to make vehicles cross the intersections without stopping.image (c) 2024 WILEY-VCH GmbH
Keyword ：
plug-in hybrid electric vehicles plug-in hybrid electric vehicles speed prediction speed prediction speed trajectory planning speed trajectory planning torque distribution torque distribution trapezoidal collocation algorithm trapezoidal collocation algorithm
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| GB/T 7714 | Lin, Xinyou , Chen, Xiankang , Chen, Zhiyong et al. Ecological Approach and Departure-Driving Strategy Optimized by Using Syncretic Learning with Trapezoidal Collocation Algorithm for the Plug-In Hybrid Electric Vehicles [J]. | ENERGY TECHNOLOGY , 2024 , 12 (4) . |
| MLA | Lin, Xinyou et al. "Ecological Approach and Departure-Driving Strategy Optimized by Using Syncretic Learning with Trapezoidal Collocation Algorithm for the Plug-In Hybrid Electric Vehicles" . | ENERGY TECHNOLOGY 12 . 4 (2024) . |
| APA | Lin, Xinyou , Chen, Xiankang , Chen, Zhiyong , Wu, Jiayun . Ecological Approach and Departure-Driving Strategy Optimized by Using Syncretic Learning with Trapezoidal Collocation Algorithm for the Plug-In Hybrid Electric Vehicles . | ENERGY TECHNOLOGY , 2024 , 12 (4) . |
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Abstract ：
Both the stochastic traffic information and state of charge (SOC) greatly impact the plug-in parallel hybrid electric vehicle performance. Uncertain cycles and driving styles affect the effectiveness of velocity prediction and further cause the instability of SOC estimate. These uncertain stochastic factors interfere with the solution of torque demand at different degrees in each control cycle. To address this issue, a stochastic model predictive control (SMPC) considering short-term forecast optimal SOC is proposed. First, multiple linear regression of engine and battery is developed for energy management strategy (EMS). Then, the velocity prediction model is developed based on Markov chain considering the driver styles, and reference SOC is optimized by dynamic programming (DP) with the forthcoming information. Finally, the SMPC-based EMS with the short-term optimal SOC is constituted. The verification results show that Markov based on driver styles has better predictive performance than radial basis function neural networks and backpropagation neural networks. The fuel economy of the proposed strategy improves by about 11.8% compared with normal model predictive control and is close to that of the globally optimal DP. The test results indicate that the SMPC with the short-term optimal SOC can promote EMS to improve fuel economy.
Keyword ：
Adaptation models Adaptation models Batteries Batteries Energy management Energy management Energy management strategy (EMS) Energy management strategy (EMS) Engines Engines multiple linear regression multiple linear regression plug-in hybrid electric vehicle (PHEV) plug-in hybrid electric vehicle (PHEV) Predictive models Predictive models State of charge State of charge stochastic model predictive control (SMPC) stochastic model predictive control (SMPC) Torque Torque velocity prediction velocity prediction
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| GB/T 7714 | Lin, Xinyou , Chen, Xiankang , Chen, Zhiyong et al. Stochastic Model Predictive Control Strategy With Short-Term Forecast Optimal SOC for a Plug-In Hybrid Electric Vehicle [J]. | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION , 2024 , 10 (4) : 8685-8697 . |
| MLA | Lin, Xinyou et al. "Stochastic Model Predictive Control Strategy With Short-Term Forecast Optimal SOC for a Plug-In Hybrid Electric Vehicle" . | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION 10 . 4 (2024) : 8685-8697 . |
| APA | Lin, Xinyou , Chen, Xiankang , Chen, Zhiyong , Xie, Liping . Stochastic Model Predictive Control Strategy With Short-Term Forecast Optimal SOC for a Plug-In Hybrid Electric Vehicle . | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION , 2024 , 10 (4) , 8685-8697 . |
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Automatic lane-changing is a complex and common task for autonomous vehicle control. In this study, a hierarchical decoupled path and velocity planning model for lane changing is proposed to enhance driving safety, comfort, and traffic efficiency. First, a parametric trajectory model is established based on the vehicle kinematic model, and the initial trajectory is solved quickly by the Sequential Quadratic Programming algorithm; in addition, the path optimization function is designed to optimize the trajectory curvature, and the distance-based velocity optimization method is used to improve the trajectory transverse, longitudinal acceleration, and jerk. To ensure the accuracy of path tracking, a comprehensive online trajectory optimization function is proposed according to tracking error fitting and vehicle reachability domain. The validation results demonstrate that the optimized path transverse velocity, acceleration, and jerk change curve are smoother, which meets the safety and comfort requirements of trajectory planning. Finally, the feasibility of the proposed trajectory planning is verified in a prototype vehicle real-world test.
Keyword ：
Autonomous vehicles Autonomous vehicles lane change lane change online trajectory planning online trajectory planning path re-optimization path re-optimization speed re-optimization speed re-optimization
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| GB/T 7714 | Lin, Xinyou , Wang, Tianfeng , Zeng, Songrong et al. Autonomous Vehicles Lane-Changing Trajectory Planning Based on Hierarchical Decoupling [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2024 . |
| MLA | Lin, Xinyou et al. "Autonomous Vehicles Lane-Changing Trajectory Planning Based on Hierarchical Decoupling" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2024) . |
| APA | Lin, Xinyou , Wang, Tianfeng , Zeng, Songrong , Chen, Zhiyong , Xie, Liping . Autonomous Vehicles Lane-Changing Trajectory Planning Based on Hierarchical Decoupling . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2024 . |
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The coaxial Tri-rotor micro air vehicle (MAV) is composed of three coaxial rotors where the aerodynamic characteristics of is complicated in flight especially when the wind effect is introduced. In this paper, the hovering performance of a full-scale coaxial Tri-rotor MAV is analyzed with both the simulations and wind tunnel experiments. Firstly, the wind effect on the aerodynamic performance of coaxial Tri-rotor MAV is established with different rotor speed (1500-2300 rpm) and horizontal wind (0-4 m/s). Secondly, the thrust and power consumption of coaxial Tri-rotor (L/D = 1.6) were obtained with low-speed wind tunnel experiments. Furthermore, the streamline distribution, pressure distribution, velocity contour and vortex distribution with different horizontal wind conditions are obtained by numerical simulations. Finally, combining the experiment results and simulation results, it is noted that the horizontal wind may accelerate the aerodynamic coupling, which resulting in the greater thrust variation up to 9% of the coaxial Tri-rotor MAV at a lower rotor speed. Moreover, the aerodynamic performance is decreased with more power consumption at higher rotor speed where the wind and the downwash flow are interacted with each other. Compared with no wind flow, the shape of the downwash flow and the deformation of the vortex affect the power loading and figure of metric accordingly.
Keyword ：
coaxial Tri-rotor MAV coaxial Tri-rotor MAV horizontal wind horizontal wind low-speed wind tunnel low-speed wind tunnel numerical simulation numerical simulation
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| GB/T 7714 | Lei, Yao , Ye, Yiqiang , Chen, Zhiyong . Horizontal Wind Effect on the Aerodynamic Performance of Coaxial Tri-Rotor MAV [J]. | APPLIED SCIENCES-BASEL , 2020 , 10 (23) . |
| MLA | Lei, Yao et al. "Horizontal Wind Effect on the Aerodynamic Performance of Coaxial Tri-Rotor MAV" . | APPLIED SCIENCES-BASEL 10 . 23 (2020) . |
| APA | Lei, Yao , Ye, Yiqiang , Chen, Zhiyong . Horizontal Wind Effect on the Aerodynamic Performance of Coaxial Tri-Rotor MAV . | APPLIED SCIENCES-BASEL , 2020 , 10 (23) . |
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Abstract ：
本实用新型涉及一种优先保障行人通行的窄桥系统，包括桥梁一侧的被连接道路和桥梁另一侧的待连接道路，所述被连接道路的路面高于待连接道路，位于被连接道路和待连接道路之间设置有路面高度与待连接道路保持一致的移动桥板，被连接道路的两侧及中部对应设置有与移动桥板相连接的人行坡面和车行坡面，位于被连接道路和待连接道路之间的两侧分别设置有用于阻挡人行坡面的楔形限宽机构，所述移动桥板的一端设置有用于待连接道路一端嵌入的凹部，所述移动桥板的下侧设置有驱动其向被连接道路一侧移动露出凹部的驱动机构，所述楔形限宽机构由移动桥板向被连接道路一侧移动过程中驱动开启以露出人行坡面。该系统可在优先保障行人通行模式下，禁止任何车辆驶入；在允许小型客车通行模式下，有效限制大型超标车辆强行过桥。
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| GB/T 7714 | 陈志勇 , 林浩勋 , 陈晓凡 et al. 一种优先保障行人通行的窄桥系统 : CN202020104962.2[P]. | 2020/1/17 . |
| MLA | 陈志勇 et al. "一种优先保障行人通行的窄桥系统" : CN202020104962.2. | 2020/1/17 . |
| APA | 陈志勇 , 林浩勋 , 陈晓凡 , 李舒婷 . 一种优先保障行人通行的窄桥系统 : CN202020104962.2. | 2020/1/17 . |
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Abstract ：
本发明涉及一种辅助穿鞋装置，包括底座、鞋夹、穿鞋辅助件、支撑板，所述支撑板安装在底座上并与之滑动配合，支撑板能在底座上左右滑动，穿鞋辅助件安装在底座后侧，鞋夹左右对称设置两个并安装在底座前侧，底座上安装有分别驱动鞋夹、穿鞋辅助件进行前后移动的移动机构A、移动机构B，移动机构A、移动机构B由驱动件A带动相向或相背运动，底座上安装有驱动穿鞋辅助件升降的升降机构，本装置结构简单，设计合理，操作方便，为不方便弯腰的老年人辅助穿鞋，可以根据老人自身的鞋码进行调试，且具备自动换鞋功能。
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| GB/T 7714 | 陈志勇 , 方国宝 , 邓祖滨 et al. 辅助穿鞋装置 : CN202021076736.4[P]. | 2020-06-12 . |
| MLA | 陈志勇 et al. "辅助穿鞋装置" : CN202021076736.4. | 2020-06-12 . |
| APA | 陈志勇 , 方国宝 , 邓祖滨 , 程志鹏 , 陈海城 . 辅助穿鞋装置 : CN202021076736.4. | 2020-06-12 . |
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为解决具有不确定性柔性基、柔性关节空间机械臂的控制问题,提出一种自适应鲁棒终端滑模控制与自适应最优控制相结合的混合控制方案.首先,利用奇异摄动法将系统降阶为慢变子系统及快变子系统;其次,针对慢变系统设计一种由等效控制、鲁棒控制及自适应调节算法组成的轨迹跟踪自适应鲁棒终端滑模控制方案;之后,针对快变系统设计一类基于自适应状态观测的振动最优控制策略.仿真结果表明所提方案在系统刚性、柔性运动控制上的有效性.
Keyword ：
最优控制 最优控制 柔性 柔性 空间机械臂 空间机械臂 鲁棒控制 鲁棒控制
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| GB/T 7714 | 陈志勇 , 张婷婷 . 柔性基、柔性关节空间机械臂的运动混合控制 [J]. | 中国机械工程 , 2019 , 30 (12) : 1466-1473 . |
| MLA | 陈志勇 et al. "柔性基、柔性关节空间机械臂的运动混合控制" . | 中国机械工程 30 . 12 (2019) : 1466-1473 . |
| APA | 陈志勇 , 张婷婷 . 柔性基、柔性关节空间机械臂的运动混合控制 . | 中国机械工程 , 2019 , 30 (12) , 1466-1473 . |
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为实现参数未知柔性基和柔性关节空间机器人的刚性运动控制及柔性振动抑制,提出一种基于非确定性等价原理的双重自适应控制方案.结合拉格朗日法、动量守恒原理及奇异摄动法,导出基座姿态受控模式下的系统动力学方程及其在双时间尺度下的快、慢变子系统.利用一类新型低通滤波信号对系统回归矩阵进行修正,针对慢变子系统设计一种可多参数调节的非确定性等价自适应控制策略,以实现参数未知工况下基座姿态及关节的轨迹跟踪.针对具有不确定性快变子系统,设计一种可使快变子系统渐近稳定、抑制基座和关节柔性振动的自适应控制策略.仿真结果验证了所提双重自适应控制方案在系统刚、柔性运动控制上的有效性.
Keyword ：
双重自适应控制 双重自适应控制 柔性关节 柔性关节 柔性基 柔性基 空间机器人 空间机器人 非确定性等价 非确定性等价
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| GB/T 7714 | 陈志勇 , 李振汉 . 柔性基和柔性关节空间机器人双重自适应控制 [J]. | 华中科技大学学报（自然科学版） , 2019 , 47 (1) : 32-38 . |
| MLA | 陈志勇 et al. "柔性基和柔性关节空间机器人双重自适应控制" . | 华中科技大学学报（自然科学版） 47 . 1 (2019) : 32-38 . |
| APA | 陈志勇 , 李振汉 . 柔性基和柔性关节空间机器人双重自适应控制 . | 华中科技大学学报（自然科学版） , 2019 , 47 (1) , 32-38 . |
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Abstract ：
为解决具有不确定性柔性基、柔性关节空间机械臂的控制问题,提出一种自适应鲁棒终端滑模控制与自适应最优控制相结合的混合控制方案。首先,利用奇异摄动法将系统降阶为慢变子系统及快变子系统;其次,针对慢变系统设计一种由等效控制、鲁棒控制及自适应调节算法组成的轨迹跟踪自适应鲁棒终端滑模控制方案;之后,针对快变系统设计一类基于自适应状态观测的振动最优控制策略。仿真结果表明所提方案在系统刚性、柔性运动控制上的有效性。
Keyword ：
最优控制 最优控制 柔性 柔性 空间机械臂 空间机械臂 鲁棒控制 鲁棒控制
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| GB/T 7714 | 陈志勇 , 张婷婷 . 柔性基、柔性关节空间机械臂的运动混合控制 [J]. | 中国机械工程 , 2019 , 30 (12) : 1466-1473 . |
| MLA | 陈志勇 et al. "柔性基、柔性关节空间机械臂的运动混合控制" . | 中国机械工程 30 . 12 (2019) : 1466-1473 . |
| APA | 陈志勇 , 张婷婷 . 柔性基、柔性关节空间机械臂的运动混合控制 . | 中国机械工程 , 2019 , 30 (12) , 1466-1473 . |
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