To solve the problems of the lack of economic efficiency and the short driving range of electric commercial vehicles, a hybrid system was developed in this work that uses fuel cells as a range extender. In addition, a method to solve the problem of multi-power energy management was proposed using the model predictive control as a framework. In the state of charge maintenance interval, a quadratic utility function was used to calculate the output power of the fuel cell and battery. The unknown parameters in the quadratic utility function were solved using the model prediction control. Speed prediction was performed using long short-term memory and particle swarm optimization. The demanded power sequence within the prediction horizon was calculated based on the predicted speed. The dynamic programming algorithm was used to solve the power demand sequence within the prediction horizon length, and the unknown parameters in the utility function were deduced inversely. The simulation results show that the proposed energy management strategy (EMS) is superior to conventional EMS in improving component durability and vehicle economy.

This paper proposes a predefined time transient coordinated control strategy based on an adaptive nonlinear extended state observer (ANLESO) to address the adaptability challenges of mode transition control in power-split hybrid electric vehicles (PS-HEVs). Firstly, building upon a conventional dynamic coordinated control framework, the influence of varying acceleration conditions and external disturbances on mode transition performance is analyzed. To enhance disturbance estimation under both positive and negative as well as large and small errors, an ANLESO is developed, which not only improves the speed and accuracy of disturbance observation but also guarantees symmetric convergence performance with respect to estimation errors. Subsequently, a predefined time feedback controller is developed based on the theory of predefined time control. Theoretical stability analysis demonstrates that the convergence time of the system is independent of the initial state and can be guaranteed within a predefined time. Finally, the feasibility and superiority of the proposed control strategy are validated through Hardware-in-the-Loop (HIL) testing and vehicle experimentation. The results show that, compared with PID control based on a linear expansion state observer, the proposed strategy reduces the mode transition time by 45.7% and mitigates drivability shock by 59.2%.

In this paper, we address the problem of jerk and disturbance suppression during mode transitions in power-split hybrid electric vehicles. First, a transient switching model of the PS-HEV is developed. Next, the mechanisms underlying shock generation and the influence of disturbances on transition smoothness are analyzed. Based on this, a fixed-time dynamic coordinated control strategy is proposed, comprising a novel sliding mode control law and a fixed-time extended state observer. The proposed fixed-time sliding mode control law is independent of initial state values and ensures superior convergence performance. Meanwhile, the fixed-time extended state observer enables real-time estimation of external disturbances, thereby reducing the conservatism of the control law. Finally, simulation and hardware-in-the-loop results demonstrate that the proposed strategy markedly improves mode transition performance under various disturbance scenarios. This work provides a new perspective on hybrid mode transition control and effectively enhances transition smoothness.

The tire-road friction coefficient (TRFC) is essential for vehicle stability control and motion planning, particularly in four-wheel distributed drive electric vehicles. Estimating the TRFC typically requires obtaining the tire force first. However, onboard sensors usually do not directly measure tire force, making it common practice to use a tire model for calculation. The accuracy of tire force calculation is affected by time-varying sensor noise, which in turn impacts the TRFC estimation. To address this, we propose a method that combines the extended H-infinity Kalman filter (EHKF) with the adaptive Unscented Kalman filter (AUKF). The EHKF is used to obtain the tire force, and then the AUKF, along with the vehicle model, estimates the TRFC. Empirical data reveal that the Suggested algorithm surpasses the traditional UKF in terms of estimation accuracy and has lower volatility.

该文基于“双高”背景，以江苏省为例，分析江苏省高水平高职院校的智能网联汽车专业建设及人才培养现状，提出实施产教融合是破解人才培养问题的重要途径，并结合“双高计划”的目标，提出产教融合创新实践策略，以进一步推进智能网联汽车专业人才培养模式改革，使学生更好地适应社会及智能网联汽车行业的发展。

进入新世纪以来,我国网联汽车得到长足的发展,高职院校紧跟时代发展,开设了智能网联汽车专业,以更为精准的人才培养来对接企业发展需求.但就培养现实而言,行业的"用工荒"和专业的"就业难"同时存在,这给高职智能网联专业的发展敲响了警钟.产教融合是一种新的模式探索,其以校企合作为内核,构建起协同育人的模式,有助于对上述问题的有效修正.高职院校是我国人才培养的摇篮,其人才培养的质量在一定程度上决定行业发展的高度及动能.进入新世纪以来,我国高职智能网联汽车专业进入了一个飞速发展的时期,科研能力、学生规模获得了量级的提升.鲜花和掌声的背后,作为高职教育的工作者也需要看到发展中的隐忧,一方面是人才培养的稀缺性难以实现与高就业率的对标,另一方面智能网联汽车行业的需求和高职供给间出现了一定的错位.为更好地适应时代的要求,加快推动高职院校智能网联汽车专业的改革,高职院校开启了一场以"产教融合、校企合作、转型发展"为导向的探索之路.本文就产教融合背景下高职院校智能网联汽车专业人才培养模式进行了阐述,并立足于产教融合背景下高职院校智能网联汽车专业前期探索的成果,就产教融合背景下高职院校智能网联汽车专业人才培养的路径进行了总结,以期为高职院校智能网联专业的深度探索提供一定的参考.

论文主要研究高职新能源汽车专业创新才培养路径.以探索完善的新能源汽车创新人才培养路径为目的,进而探索高职新能源汽车专业才培养模式.在充分调研的基础上,结合企业实际需求状况,提出了培养路径的措施,并通过实践验证,结果表明,该新能源汽车专业人才培养路径适合我国高职院校的发展需要.

高职院校作为我国人才培养中的重要模块,以其独特专业的培养模式,有效实现了学校教育与职业岗位的预结合,为各行业发展提供了基础技能型人才.就一定层面上而言,高职院校的成果将直接决定了未来各行业发展的根基.在高职院校的发展中,产教的深度融合被提升了日程,其成为破解当前人才培养问题的重要途径.本研究以江苏高职院校的智能网联汽车专业为例,就高职院校产教融合实现机制展开了全面的总结.

To solve the serious pollution problems of traditional fuel tractors and the short continuous operation time of pure electric tractors, a hybrid tractor with fuel cell as the primary power source and battery as the auxiliary power source is proposed. A novel energy management strategy was also designed, which integrates thermostat control strategy, power following strategy, and fuzzy logic control. The energy management strategy utilizes the advantages of different algorithms and realizes the rational distribution of fuel cell and battery output power. The system economy and fuel cell durability are improved by the tabu search algorithm. The simulation results show that the proposed energy management strategy can work well in different SOC states and reduce the fuel cell’s power fluctuations. The tractor is equipped with 960 g of hydrogen, the initial state of charge (SOC) is 90%, and it can operate continuously for 2.65 h.

Extrusion tests of Mg-8 Al-3 Sn-0.5 V magnesium alloy samples for automobile parts were carried out at different extrusion temperatures. The mechanical properties and microstructure were tested and analyzed. The results show that with the increase of extrusion temperature, the tensile strength and yield strength first increase and then decrease, and the elongation after fracture first decreases and then increases. After extrusion at 340 ℃, the tensile strength and yield strength of the sample are the highest, and the elongation after break is the smallest. The extrusion temperature of Mg-8 Al-3 Sn-0.5 V magnesium alloy specimens for automotive parts is preferably 340℃.

An automobile intelligent auxiliary control system performance for comity pedestrians is analysed. For safety reasons, a car safety distance model which can distinguish pedestrians at the front zebra crossing line is proposed. The important features of the active protective comity pedestrian integrated control system are derived, which can accurately identify pedestrians or cyclists in front of you and distinguish safety behaviour characteristics. According to the system feedback, active protection measures are adopted. A control system based on the combination of infrared radar probe ranging system and image processing recognition system is studied. The innovative research on car avoiding pedestrians focuses on both the behaviour characteristics of the driver and the pedestrian. Dual protection of longitudinal anti-collision comity pedestrians and horizontal pedestrian protection early warning protection can be carried out through the system. The intelligent auxiliary control system is a control system that can ensure the safety of pedestrians at non-traffic signal intersections. The system embodies more intelligent and humane, and also provides innovative ideas for the research and development of new products.

文章设计一种汽车智能防远光干扰控制系统,系统能自动分析两车相会距离和夜间行车,采用智能化控制远光灯的方式,利用新的探头结构探测光照强度,实现了在前方较暗或前方车辆未开启远光时,自动开启或关闭远光灯,无需驾驶员操控,而在前方车辆开启远光时,通过交替启闭远光灯以提示对面关闭远光,实现了不同行车工况下智能化的远近光切换控制,提高了汽车驾驶体验和行车安全性,为汽车智能防远光干扰系统的研究打下了基础,也为新产品的开发提供了思路.

针对高速公路上驾驶员的超速行为,设计一种高速汽车防超速限速控制系统,在车速保持在国家限速的10％以内时进行语音报警,为车辆驾驶人员提供警示标志,以便驾驶人员及时减速;设置限速控制系统,在驾驶员长时间超速行驶时实行强制限速控制,为车辆驾驶员提供有效的安全保障,保证汽车安全行驶.

This paper concerns the impact of coil factors on a hydraulic electric inerter-based vehicle suspension. A hydraulic electric inerter device is first introduced, and the dynamic model of a quarter car is established. Subsequently, the influences of the coil factors on the body acceleration, suspension working space and dynamic tire load are investigated in both the time and frequency domain. Results show that the coil factors have a slight effect on the vehicle suspension performance, decreasing the root-mean-square (RMS) of the vehicle body acceleration and increasing the RMS of the suspension working space and dynamic tire load.

Abstract As the key component of hybrid electric vehicles (HEV), the dynamic performance of the power coupling mechanism is found to have a significant effect on the power switching process for the whole vehicle. The research object is the double planetary gear coupling mechanism of hybrid electric vehicles. Through analysis of the relationship between each power source and the planetary gear, this paper obtained the characteristics of a dynamic coupling mechanism under non-steady state (such as engine starting). On the basis of this coupled system, a dynamic coordinated control method is proposed based on model predictive control under unsteady engine operating conditions. The results show that the dynamic coordinated control strategy can effectively reduce the impact of the whole vehicle mode switching, the dynamic coordinated control strategy is adopted, the mode switching process of the power coupling mechanism (engine starting conditions) works smoothly, reducing the total output torque shock, which is conducive to improving the vibration and noise level of the vehicles.

Power split hybrid electric vehicle (HEV), which enables free adjustment of the engine, shows excellent performance in energy saving. The fuel economy of HEV is influenced by the battery charging/discharging. In order to maintain the exact battery sustainability, dynamic programming, a kind of global optimization strategy, is applied offline to derive the optimal solutions with minimal engine fuel consumption and exact battery SOC balance. The mode switching rules are further extracted and used to decide the operation modes for real-time control applications. The operation efficiencies of different components are analyzed, and the system transmission efficiency for the operation mode that both the engine and electric machines are engaged in is obtained. Then, the optimal problem based on model predictive control scheme is constructed with the objective of maximal powertrain transmission efficiency. The optimal problem in the prediction horizon is solved by dynamic programming to obtain the optimal control sequence. Finally, simulation studies are made. Simulation results demonstrate that the transmission efficiency oriented predictive strategy can maintain the battery charging sustainability and improve the equivalent fuel economy of the HEV effectively. The results validate the feasibility and superiority of the proposed controller.

作为汽车车身主配件的挡风玻璃在行驶安全中起着极为重要的作用.设计了一种智能前挡风玻璃调光控制系统,研究了电致玻璃随外部环境的变化规律,设定外部温度阈值和光强阈值,中央处理器把采集的信号传给控制器,进一步控制电致玻璃光透射比,实现智能调光.该控制系统的设计实现了智能前挡风玻璃调光需要,为汽车智能玻璃调光系统的研究打下了基础,也为新产品的开发提供了思路.

Abstract A rollover model for for predicting the operation of mountain tractors in hilly areas is presented. The quasi-static rollover model and the transient rollover model of the mountain tractor are studied, and the dynamic equations are also derived. The simulation model is set in the Carsim/Matlab Simulink environment, the rollover threshold of the tractor when cornering with a certain lateral acceleration under the angular step condition is analyzed. The anti-rollover control is used when one of the four wheels loses contact with the slope surface. The most significant result is that the model suggests that employment of active rollover control of the wheels may hinder the tractor from rolling on the slope. Thus, it proves the rationality of the model presented.

A tractor three degree of freedom of agricultural implement suspension mechanism is proposed. The position and posture of the agricultural suspension implement frames are controlled by adjusting these three active motion pairs. Since the agricultural suspension implement is fixed on the mountain tractor through three points, the adjustment of the agricultural implement position and posture is obtained. Corresponding dynamic performance analysis of the mountain tractor suspension implements is analyzed. This model can be used for the operation of the tractor and farm implement set with automatic chassis levelling on the slope. The farm implement and the slope terrain can be profiled by adjusting the position and posture of the farm implement, and the lateral uniformity of the cultivation depth can be improved.

为了解决传统电控液压悬挂无法根据坡地的横向坡度对机具侧倾角进行调整的问题,提出了一种坡地自适应电控液压悬挂反馈控制系统.提出了一种利用卡尔曼滤波方法对机具理想侧倾角进行估计的预测方法;建立了电控液压悬挂机构的动力学模型;在Simulink平台下对某一典型二自由度拖拉机机具悬挂机构搭建了控制系统模型,并利用实际采集的拖拉机作业坡地路面谱数据作为模型输入信号进行了仿真.结果表明:该自适应电控液压悬挂反馈控制系统能够有效控制拖拉机悬挂机具横向耕深波动在±10 mm以内.