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| 1 | Predictive cruise control for heavy trucks based on slope information under cloud control system显示文摘With the advantage of fast calculation and map resources on cloud control system(CCS), cloud-based predictive cruise control(CPCC) for heavy trucks has great potential to improve energy efficiency, which is significant to achieve the goal of national carbon neutrality. However, most investigations focus on the on-board predictive cruise control(PCC) system,lack of research on CPCC architecture under CCS. Besides, the current PCC algorithms have the problems of a single control target and high computational complexity, which hinders the improvement of the control effect. In this paper, a layered architecture based on CCS is proposed to effectively address the realtime computing of CPCC system and the deployment of its algorithm on vehicle-cloud. In addition, based on the dynamic programming principle and the proposed road point segmentation method(RPSM), a PCC algorithm is designed to optimize the speed and gear of heavy trucks with slope information. Simulation results show that the CPCC system can adaptively control vehicle driving through the slope prediction, with fuel-saving rate of 6.17% in comparison with the constant cruise control. Also,compared with other similar algorithms, the PCC algorithm can make the engine operate more in the efficient zone by cooperatively optimizing the gear and speed. Moreover, the RPSM algorithm can reconfigure the road in advance, with a 91% roadpoint reduction rate, significantly reducing algorithm complexity.Therefore, this study has essential research significance for the economic driving of heavy trucks and the promotion of the CPCC system. | LI Shuyan WAN Keke GAO Bolin LI Rui WANG Yue LI Keqiang | 2022 | Journal of Systems Engineering and Electronics2022，33，4： | 5 |
| 2 | Optimal Predictive Control for Path Following of a Full Drive-by-Wire Vehicle at Varying Speeds显示文摘The current research of the global chassis control problem for the full drive-by-wire vehicle focuses on the control allocation(CA) of the four-wheel-distributed traction/braking/steering systems. However, the path following performance and the handling stability of the vehicle can be enhanced a step further by automatically adjusting the vehicle speed to the optimal value. The optimal solution for the combined longitudinal and lateral motion control(MC)problem is given. First, a new variable step-size spatial transformation method is proposed and utilized in the prediction model to derive the dynamics of the vehicle with respect to the road, such that the tracking errors can be explicitly obtained over the prediction horizon at varying speeds. Second, a nonlinear model predictive control(NMPC) algorithm is introduced to handle the nonlinear coupling between any two directions of the vehicular planar motion and computes the sequence of the optimal motion states for following the desired path. Third, a hierarchical control structure is proposed to separate the motion controller into a NMPC based path planner and a terminal sliding mode control(TSMC) based path follower. As revealed through off-line simulations, the hierarchical methodology brings nearly 1700% improvement in computational efficiency without loss of control performance. Finally, the control algorithm is verified through a hardware in-the-loop simulation system. Double-lanechange(DLC) test results show that by using the optimal predictive controller, the root-mean-square(RMS) values of the lateral deviations and the orientation errors can be reduced by 41% and 30%, respectively, comparing to those by the optimal preview acceleration(OPA) driver model with the non-preview speed-tracking method. Additionally,the average vehicle speed is increased by 0.26 km/h with the peak sideslip angle suppressed to 1.9°. This research proposes a novel motion controller, which provides the full drive-by-wire vehicle with better lane-keeping and collision-avoidance capabilities during autonomous driving. | Pan SONG Bolin GAO Shugang XIE Rui FANG | 2017 | Chinese Journal of Mechanical Engineering2017，30，3： | 4 |
| 3 | Passivation of degradation path enables high performance perovskite nanoplatelet lasers with high operational stability显示文摘MAPbI_(3)perovskite has attracted widespread interests for developing low-cost near infrared semiconductor gain media.However,it faces the instability issue under operation conditions,which remains a critical challenge.It is found that the instability of the MAPbI_(3)nanoplatelet laser comes from the thermal-induced degradation progressing from the surface defects towards neighboring regions.By using PbI_(2) passivation,the defect-initiated degradation is significantly suppressed and the nanoplatelet degrades in a layer-by-layer way,enabling the MAPbI_(3)laser to sustain for 4500 s(2.7×10^(7) pulses),which is nearly three times longer than that of the nanoplatelet laser without passivation.Meanwhile,the PbI_(2) passivated MAPbI_(3)nanoplatelet laser with the nanoplatelet cavity displays a maximum quality factor up to∼7800,the highest reported for all MAPbI_(3)nanoplatelet cavities.Furthermore,a high stability MAPbI_(3)nanoplatelet laser that can last for 8500 s(5.1×10^(7) pulses)is demonstrated based on a dual passivation strategy,by retarding the defect-initiated degradation and surface-initiated degradation simultaneously.This work provides in-depth insights for understanding the operating degradation of perovskite lasers,and the dual passivation strategy paves the way for developing high stability near infrared semiconductor laser media. | GUOHUI LI HUIHUI PI YANFU WEI BOLIN ZHOU YA GAO RONG WEN YUYING HAO HAN ZHANG BENG S.ONG YANXIA CUI | 2022 | Photonics Research2022，10，6： | 2 |
| 4 | Classifying Data Streams with Skewed Class Distributions and Concept Drifts显示文摘 | Gao Jing Ding Bolin Han Jiawei | 2008 | IEEE Internet Computing2008，12，6： | 1 |
| 5 | Self-assembled donor-acceptor hole contacts for inverted perovskite solar cells with an efficiency approaching 22%: The impact of anchoring groups显示文摘Self-assembled molecules(SAMs) have shown great potential in replacing bulk charge selective contact layers in high-performance perovskite solar cells(PSCs) due to their low material consumption and simple processing. Herein, we design and synthesize a series of donor-acceptor(D-A) type SAMs(MPA-BTCA, MPA-BT-BA, and MPA-BT-RA, where MPA is 4-methoxy-N-(4-methoxyphenyl)-N-phenylaniline;BT is benzo[c][1,2,5]-thiadiazole;CA is 2-cyanoacrylic acid, BA is benzoic acid, RA is rhodanine-3-propionic acid) with distinct anchoring groups, which show dramatically different properties. MPA-BTCA with CA anchoring groups exhibited stronger dipole moments and formed a homogeneous monolayer on the indium tin oxide(ITO) surface by adopting an upstanding self-assembling mode. However, the MPA-BT-RA molecules tend to aggregate severely in solid state due to the sp~3 hybridization of the carbon atom on the RA group, which is not favorable for achieving a long-range ordered self-assembled layer.Consequently, benefiting from high dipole moment, as well as dense and uniform self-assembled film,the device based on MPA-BT-CA yielded a remarkable power conversion efficiency(PCE) of 21.81%.Encouragingly, an impressive PCE approaching 20% can still be obtained for the MPA-BT-CA-based PSCs as the device area is increased to 0.80 cm^(2). Our work sheds light on the design principles for developing hole selecting SAMs, which will pave a way for realizing highly efficient, flexible, and large-area PSCs. | Qiaogan Liao Yang Wang Zilong Zhang Kun Yang Yongqiang Shi Kui Feng Bolin Li Jiachen Huang Peng Gao Xugang Guo | 2022 | Journal of Energy Chemistry2022，31，5： | 0 |
| 6 | Phase-engineering modulation of Mn-based oxide cathode for constructing super-stable sodium storage显示文摘The Mn-based oxide cathode with enriched crystal phase structure and component diversity can provide the excellent chemistry structure for Na-ion batteries.Nevertheless,the broad application prospect is obstructed by the sluggish Na^(+)kinetics and the phase transitions upon cycling.Herein,we establish the thermodynamically stable phase diagram of various Mn-based oxide composites precisely controlled by sodium content tailoring strategy coupling with co-doping and solid-state reaction.The chemical environment of the P2/P'3 and P2/P3 biphasic composites indicate that the charge compensation mechanism stems from the cooperative contribution of anions and cations.Benefiting from the no phase transition to scavenge the structure strain,P2/P'3 electrode can deliver long cycling stability(capacity retention of 73.8%after 1000 cycles at 10 C)and outstanding rate properties(the discharge capacity of 84.08 mA h g^(-1)at 20 C)than P2/P3 electrode.Furthermore,the DFT calculation demonstrates that the introducing novel P'3 phase can significantly regulate the Na^(+)reaction dynamics and modify the local electron configuration of Mn.The effective phase engineering can provide a reference for designing other high-performance electrode materials for Na-ion batteries. | Quanqing Zhao Ruru Wang Ming Gao Bolin Liu Jianfeng Jia Haishun Wu Youqi Zhu Chuanbao Cao | 2024 | Journal of Energy Chemistry2024，88，1： | 0 |
| 7 | A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System显示文摘With the application of mobile communication technology in the automotive industry,intelligent connected vehicles equipped with communication and sensing devices have been rapidly promoted.The road and traffic information perceived by intelligent vehicles has important potential application value,especially for improving the energy-saving and safe-driving of vehicles as well as the efficient operation of traffic.Therefore,a type of vehicle control technology called predictive cruise control(PCC)has become a hot research topic.It fully taps the perceived or predicted environmental information to carry out predictive cruise control of vehicles and improves the comprehensive performance of the vehicle-road system.Most existing reviews focus on the economical driving of vehicles,but few scholars have conducted a comprehensive survey of PCC from theory to the status quo.In this paper,the methods and advances of PCC technologies are reviewed comprehensively by investigating the global literature,and typical applications under a cloud control system(CCS)are proposed.Firstly,the methodology of PCC is generally introduced.Then according to typical scenarios,the PCC-related research is deeply surveyed,including freeway and urban traffic scenarios involving traditional vehicles,new energy vehicles,intelligent vehicles,and multi-vehicle platoons.Finally,the general architecture and three typical applications of the cloud control system(CCS)on PCC are briefly introduced,and the prospect and future trends of PCC are proposed. | Bolin Gao Keke Wan Qien Chen Zhou Wang Rui Li Yu Jiang Run Mei Yinghui Luo Keqiang Li | 2023 | Machine Intelligence Research2023，20，5： | 0 |
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