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| 1 | Analysis of Typical Automakers’ Strategies for Meeting the Dual-Credit Regulations Regarding CAFC and NEVs显示文摘The parallel corporate average fuel consumption(CAFC)and new energy vehicle(NEV)credit schemes that have been introduced by the Ministry of Industry and Information Technology of China is an innovative attempt to simultaneously regulate conventional gasoline vehicles(CGVs)and NEVs in the passenger vehicle sector that is expected to function as a long-term management mechanism for CGVs to be more energy-efficient and NEVs to be well-promoted.This will have a significant impact on trends in China’s automotive industry and automakers’business decisions.Taking the cases of four typical automakers with different levels of average fuel economy in their CGVs and advanced NEV production,scenario analysis has been applied to generate these automakers’alternatives in relation to compliance with the dual-credit regulations in force from 2017 to 2020 based on the Interim Measures on the Joint Management of CAFC and NEV Credits(Draft).These automakers’alternative approaches to compliance are compared.Further,in view of the financial losses as a result of halted production if they fail to comply,the values of CAFC and NEV credits and corresponding influencing factors are analyzed from the automakers’perspective.Finally,the most cost-effective compliance strategies for these automakers are summarized and suggested improvements in the regulations are proposed for the government. | Yue Wang Fuquan Zhao Yinshuo Yuan Han Hao Zongwei Liu | 2018 | Automotive Innovation2018，1，1： | 14 |
| 2 | Progress in Automotive Transmission Technology显示文摘Much progress has been made in the development of automotive transmissions over the past 20 years,e.g.,an increased speed number,expanded ratio spread and improved efficiency and shift quality.Automotive transmissions are moving toward electrification in response to stringent legislation on emissions and the pressing demand for better fuel economy.This paper reviews progress in automotive transmission technology.Assisted by computer-aided programs,new transmission schemes are constantly being developed.We therefore first introduce the synthesis of the transmission scheme and parameter optimization.We then discuss the progress in the transmission technology of a conventional internal combustion engine vehicle in terms of new layouts;improved efficiency;noise,vibration and harshness technology;and the shifting strategy and control technology.As the major development trend,transmission electrification is subsequently discussed;this discussion includes the configuration design,energy management strategy,hybrid mode shifting control,single-speed and multi-speed electric vehicle transmission and distributed electric drive.Finally,a summary and outlook are presented for conventional automotive transmissions,hybrid transmissions and electric vehicle transmissions. | Xiangyang Xu Peng Dong Yanfang Liu Hui Zhang | 2018 | Automotive Innovation2018，1，3： | 8 |
| 3 | Recent Progress in Automotive Gasoline Direct Injection Engine Technology显示文摘Gasoline direct injection(GDI)engines are currently the dominant powertrains for passenger cars.With the implementation of increasingly stringent fuel consumption and emission regulationsworldwide,GDI engines are facing challenges owing to high particulate matter emissions and a tendency to knock,leading to a change in the research and design(R&D)issues compared with those in the twentieth century.This paper reviews the progress in research regarding GDI engine technologies over the past 20 years,focusing on combustion system configurations,and also highlights common issues in GDI R&D,including pre-ignition and deto-knock,soot formation and PM emissions,injector deposits and gasoline compression ignition(GCI).First,an overview of recent developments in the field as driven by regulations is provided,following which progress in injection and combustion systems is examined.Third,the review addresses the occurrence and mechanism of deto-knock and considers means of suppressing this phenomenon.The fourth section discusses soot formation mechanisms and particulate matter emission characteristics of GDI engines and describes the application of gasoline particulate filter(GPF)after-treatment.The subsequent section summarizes studies regarding injector deposit formation,as well as pioneering research into GCI combustion modes.Finally,a summary and future prospects for GDI engine technologies are provided. | Shijin Shuai Xiao Ma Yanfei Li Yunliang Qi Hongming Xu | 2018 | Automotive Innovation2018，1，2： | 8 |
| 4 | Driving-Cycle-Aware Energy Management of Hybrid Electric Vehicles Using a Three-Dimensional Markov Chain Model显示文摘This study developed a new online driving cycle prediction method for hybrid electric vehicles based on a three-dimensional stochastic Markov chain model and applied the method to a driving-cycle-aware energy management strategy.The impacts of different prediction time lengths on driving cycle generation were explored.The results indicate that the original driving cycle is compressed by 50%,which significantly reduces the computational burden while having only a slight effect on the prediction performance.The developed driving cycle prediction method was implemented in a real-time energy management algorithm with a hybrid electric vehicle powertrain model,and the model was verified by simulation using two different testing scenarios.The testing results demonstrate that the developed driving cycle prediction method is able to efficiently predict future driving tasks,and it can be successfully used for the energy management of hybrid electric vehicles. | Bolin Zhao Chen Lv Theo Hofman | 2019 | Automotive Innovation2019，2，2： | 7 |
| 5 | Review and Development of Electric Motor Systems and Electric Powertrains for New Energy Vehicles显示文摘This paper presents a review on the recent research and technical progress of electric motor systems and electric powertrains for new energy vehicles.Through the analysis and comparison of direct current motor,induction motor,and synchronous motor,it is found that permanent magnet synchronous motor has better overall performance;by comparison with converters with Si-based IGBTs,it is found converters with SiC MOSFETs show significantly higher efficiency and increase driving mileage per charge.In addition,the pros and cons of different control strategies and algorithms are demonstrated.Next,by comparing series,parallel,and power split hybrid powertrains,the series-parallel compound hybrid powertrains are found to provide better fuel economy.Different electric powertrains,hybrid powertrains,and range-extended electric systems are also detailed,and their advantages and disadvantages are described.Finally,the technology roadmap over the next 15 years is proposed regarding traction motor,power electronic converter and electric powertrain as well as the key materials and components at each time frame. | William Cai Xiaogang Wu Minghao Zhou Yafei Liang Yujin Wang | 2021 | Automotive Innovation2021，4，1： | 7 |
| 6 | Effects of Cell Microtopology on the In-plane Dynamic Crushing Analysis of Re-entrant Square Cellular Material显示文摘With the development of three-dimensional printing technologies, so-called cellular materials have achieved increasingattention due to outstanding properties. Unlike pure solid structures, properties of cellular materials are influenced by bothutilized material and cell microtopology. The present paper proposes a novel type of re-entrant square cellular material.To explore the relationship between microtopology and macrodynamic responses systematically, an explicit dynamic finiteelement simulation method is used. This work starts by constructing theoretical models of relative density employing atwo-dimensional unit cell. Then, the effects of geometric features and configurations on dynamic properties are explored,and simulations indicate that variations of geometric parameters strongly affect properties and that the staggered re-entrantsquares are more stable than the regular re-entrant squares. Subsequently, the effects of the impact velocity on dynamiccrushing behaviors are elaborated. On this basis, the relationship of unit mass energy absorption and geometric features isobtained by employing the response surface method. Furthermore, with targets of maximum unit mass energy absorption andminimum relative density, the optimal structural parameters are achieved by using non-dominated sorting genetic algorithm.The study provides a detailed introduction to dynamic behaviors of cellular materials and guidance to design new structureswith superior characteristics of energy absorption. | Fangwu Ma Ying Zhao Hongyu Liang Jiawei Wang | 2018 | Automotive Innovation2018，1，1： | 6 |
| 7 | CO_(2) Reduction Request and Future High-Efficiency Zero-Emission Argon Power Cycle Engine显示文摘To meet the requirements of strict fuel consumption and emission limits,continuously increasing the thermal efficiency of an internal combustion engine and decreasing its exhaust emissions are the main challenges to its sustainable development within the automotive industry.Considering the competition with other zero-emission powertrain systems,such as vehicle batteries and fuel cells,the development of the internal combustion engine needs to focus on producing higher efficiency and zero emissions to meet the request of CO_(2) reduction.This paper introduces two novel concepts for an internal combustion engine featuring high efficiency and zero emissions.Referred to as the argon power cycle engine fueled with either hydrogen or natural gas within an oxygen–argon mixture,its fundamentals and characteristics are expounded.This includes a method necessary to absorb carbon dioxide when natural gas is used as fuel instead of hydrogen. | Liguang Li Yinchun Gong Jun Deng Xuehai Gong | 2018 | Automotive Innovation2018，1，1： | 6 |
| 8 | Active Collision Avoidance System Design Based on Model Predictive Control with Varying Sampling Time显示文摘In active collision avoidance,the trajectory tracking controller determines the deviation from the reference path and the vehicle stability.The main objective of this study was to reduce the tracking error and improve the tracking performance in collision avoidance.Unlike the previously proposed model predictive control(MPC)strategies with constant sampling time,an improved MPC controller with varying sampling time based on the hierarchical control framework was proposed in this paper.Compared with the original MPC tracking controller,the improved MPC controller demonstrated better adaptive capability for the varying road adhesion coefficients and vehicle speed on a curved road.The simulation results revealed that the hierarchical control framework generated an optimal trajectory for collision avoidance in real-time by minimizing the potential field energy. | Wanying Xue Ling Zheng | 2020 | Automotive Innovation2020，3，1： | 5 |
| 9 | Study of Longitudinal-Vertical Dynamics for In-Wheel Motor-Driven Electric Vehicles显示文摘The in-wheel motor(IWM)-driven electric vehicles(EVs)attract increasing attention due to their advantages in dimensions and controllability.The majority of the current studies on IWM are carried out with the assumption of an ideal actuator,in which the coupling effects between the non-ideal IWM and vehicle are ignored.This paper uses the braking process as an example to investigate the longitudinal-vertical dynamics of IWM-driven EVs while considering the mechanical-electrical coupling effect.First,a nonlinear switched reluctance motor model is developed,and the unbalanced electric magnetic force(UEMF)induced by static and dynamic mixed eccentricity is analyzed.Then,the UEMF is decomposed into longitudinal and vertical directions and included in the longitudinal-vertical vehicle dynamics.The coupling dynamics are demonstrated under different vehicle braking scenarios;numerical simulations are carried out for various road grades,road friction,and vehicle velocities.A novel dynamics vibration absorbing system is adopted to improve the vehicle dynamics.Finally,the simulation results show that vehicle vertical dynamic performance is enhanced. | Yechen Qin Ze Zhao Zhenfeng Wang Guofa Li | 2021 | Automotive Innovation2021，4，2： | 5 |
| 10 | Robust Cooperative Control of Multiple Autonomous Vehicles for Platoon Formation Considering Parameter Uncertainties显示文摘This paper proposes a robust cooperative control strategy for multiple autonomous vehicles to achieve safe and efficient platoon formation,and it analyzes the effects of vehicle stability boundaries and parameter uncertainties.The cooperative vehicle control framework is composed of the upper planning level and lower tracking control level.In the planning level,the trajectory of each vehicle is generated by using the multi-objective flocking algorithm to form the platoon.The parameters of the flocking algorithm are optimized to prevent the vehicle speed and yaw rate from going beyond their limits.In the lower level,to realize the stable platoon formation,a lumped disturbance observer is designed to gain the stable-state reference,and a distributed robust model predictive controller is proposed to achieve the offset-free trajectory tracking while downsizing the effects of parameter uncertainties.The simulation results show the proposed cooperative control strategy can achieve safe and efficient platoon formation. | Weichao Zhuang Liwei Xu Guodong Yin | 2020 | Automotive Innovation2020，3，1： | 5 |
| 11 | Implementation of MPC-Based Path Tracking for Autonomous Vehicles Considering Three Vehicle Dynamics Models with Different Fidelities显示文摘Model predictive control(MPC)algorithm is established based on a mathematical model of a plant to forecast the system behavior and optimize the current control move,thus producing the best future performance.Hence,models are core to every form of MPC.An MPC-based controller for path tracking is implemented using a lower-fidelity vehicle model to control a higher-fidelity vehicle model.The vehicle models include a bicycle model,an 8-DOF model,and a 14-DOF model,and the reference paths include a straight line and a circle.In the MPC-based controller,the model is linearized and discretized for state prediction;the tracking is conducted to obtain the heading angle and the lateral position of the vehicle center of mass in inertial coordinates.The output responses are discussed and compared between the developed vehicle dynamics models and the CarSim model with three different steering input signals.The simulation results exhibit good path-tracking performance of the proposed MPC-based controller for different complexity vehicle models,and the controller with high-fidelity model performs better than that with low-fidelity model during trajectory tracking. | Shuping Chen Huiyan Chen Dan Negrut | 2020 | Automotive Innovation2020，3，4： | 5 |
| 12 | End-to-End Autonomous Driving Through Dueling Double Deep Q-Network显示文摘Recent years have seen the rapid development of autonomous driving systems,which are typically designed in a hierarchical architecture or an end-to-end architecture.The hierarchical architecture is always complicated and hard to design,while the end-to-end architecture is more promising due to its simple structure.This paper puts forward an end-to-end autonomous driving method through a deep reinforcement learning algorithm Dueling Double Deep Q-Network,making it possible for the vehicle to learn end-to-end driving by itself.This paper firstly proposes an architecture for the end-to-end lane-keeping task.Unlike the traditional image-only state space,the presented state space is composed of both camera images and vehicle motion information.Then corresponding dueling neural network structure is introduced,which reduces the variance and improves sampling efficiency.Thirdly,the proposed method is applied to The Open Racing Car Simulator(TORCS)to demonstrate its great performance,where it surpasses human drivers.Finally,the saliency map of the neural network is visualized,which indicates the trained network drives by observing the lane lines.A video for the presented work is available online,https://youtu.be/76ciJ mIHMD8 or https://v.youku.com/v_show/id_XNDM4 ODc0M TM4NA==.html. | Baiyu Peng Qi Sun Shengbo Eben Li Dongsuk Kum Yuming Yin Junqing Wei Tianyu Gu | 2021 | Automotive Innovation2021，4，3： | 5 |
| 13 | Driver Model-Based Fault-Tolerant Control of Independent Driving Electric Vehicle Suffering Steering Failure显示文摘This paper presents a fault-tolerant control(FTC)strategy for a four-wheel independent driving electric vehicle suffering steering failure.The method is based on the functional redundancy of driving and braking actuators to recover the vehicle’s steering ability.A dynamic vehicle model is derived with the function of four-wheel driving.A sliding mode controller with a combined sliding surface is employed as a motion controller,allowing the desired vehicle motion to be tracked by the adaptive drivermodel.An extended Kalman filter-based state estimator is adopted to virtually measure the sideslip anglewhile considering the nonlinear tire force.A new allocation strategy,involving two distribution modes of coordination,is designed.In addition,a weight coefficient adjustment strategy is implemented in optimal mode based on the lateral load transfer,thus improving the steering performance.Simulations are conducted to verify the proposed FTC algorithm.The results demonstrate that steering failure can be effectively covered by the functional redundancy of the driving/braking actuators. | Shaobo Lu Sheng Cen Yanpeng Zhang | 2018 | Automotive Innovation2018，1，1： | 4 |
| 14 | Collaborative Control of Novel Uninterrupted Propulsion System for All-Climate Electric Vehicles显示文摘Over the past decade,the electric vehicle industry of China has developed rapidly,reaching one of the highest technological levels in the world.Nevertheless,most electric buses currently serve urban areas,being unsuitable for all-climate operations.In response to the objective of massively adopting electric vehicles for transportation during all the events of the 2022 Beijing Winter Olympics,a dual-motor coaxial propulsion system for all-climate electric vehicles is proposed.The system aims to meet operating requirements such as high speed and adaptability to mountainous roads under severely cold environments.The system provides three operating modes,whose characteristics are analyzed under different conditions.In addition,dual-motor collaborative control strategy with collaborative gearshift and collaborative power distribution is proposed to eliminate power interruption during gearshift process and achieve intelligent power distribution,thus improving the gearshift quality and reducing energy consumption.Finally,gear position calibration for all-climate operation and proper gearshift is introduced.Experimental results demonstrate the advantages of the proposed dual-motor coaxial propulsion system regard-ing gearshift compared with the conventional single-motor automatic transmission. | Cheng Lin Xiao Yu Mingjie Zhao Jiang Yi Ruhui Zhang | 2022 | Automotive Innovation2022，5，1： | 4 |
| 15 | Simulation and Analysis on Overtaking Safety Assistance System Based on Vehicle-to-Vehicle Communication显示文摘Because of the complexity and variability of an intelligent vehicle’s driving environment,it is difficult for the application of the vehicular sensors to meet the needs of the surrounding environment information entirely.Vehicle-to-vehicle(V2V)communication technology is used by target vehicles to exchange information,and obtain the driving condition and driving intention of the front driver.To obtain environmental information outside the range of vehicular sensors in advance,in this paper,a vehicle overtaking assistance system is proposed based on V2V communication.The data,including the speed,position,direction angle and steering angle obtained using V2V communication,were preliminarily processed.Then,combined with an overtaking safety distance model,the vehicle parameters,driver’s driving intention and vehicle status information were entered into an overtaking security assistance system to determine the overtaking conditions.Fuzzy theory was used to control the parameters of the overtaking safety distance model.Finally,the overtaking safety assistance system was established and the proposed algorithm was tested using PreScan/MATLAB cooperative simulation software.The results showed that the proposed overtaking safety algorithm effectively provided a warning according to environmental change and the driver’s intention,which assisted the driver to overtake and avoid the occurrence of accidents,which improved the safety performance of the vehicle. | Chunmei Mo Yinong Li Ling Zheng | 2018 | Automotive Innovation2018，1，2： | 4 |
| 16 | Deep Reinforcement Learning Enabled Decision-Making for Autonomous Driving at Intersections显示文摘Road intersection is one of the most complex and accident-prone traffic scenarios,so it’s challenging for autonomous vehicles(AVs)to make safe and efficient decisions at the intersections.Most of the related studies focus on the solution to a single scenario or only guarantee safety without considering driving efficiency.To address these problems,this study proposed a deep reinforcement learning enabled decision-making framework for AVs to drive through intersections automatically,safely and efficiently.The mapping relationship between traffic images and vehicle operations was obtained by an end-to-end decision-making framework established by convolutional neural networks.Traffic images collected at two timesteps were used to calculate the relative velocity between vehicles.Markov decision process was employed to model the interaction between AVs and other vehicles,and the deep Q-network algorithm was utilized to obtain the optimal driving policy regarding safety and efficiency.To verify the effectiveness of the proposed decision-making framework,the top three accident-prone crossing path crash scenarios at intersections were simulated,when different initial vehicle states were adopted for better generalization capability.The results showed that the developed method could make AVs drive safely and efficiently through intersections in all of the tested scenarios. | Guofa Li Shenglong Li Shen Li Yechen Qin Dongpu Cao Xingda Qu Bo Cheng | 2020 | Automotive Innovation2020，3，4： | 4 |
| 17 | Cooperative Lane-Change Maneuver for Multiple Automated Vehicles on a Highway显示文摘With the development of vehicle-to-vehicle(V2V)communication,it is possible to share information among multiple vehicles.However,the existing research on automated lane changes concentrates only on the single-vehicle lane change with self-detective information.Cooperative lane changes are still a new area with more complicated scenarios and can improve safety and lane-change efficiency.Therefore,a multi-vehicle cooperative automated lane-change maneuver based on V2V communication for scenarios of eight vehicles on three lanes was proposed.In these scenarios,same-direction and intersectant-direction cooperative lane changes were defined.The vehicle that made the cooperative decision obtained the information of surrounding vehicles that were used to cooperatively plan the trajectories,which was called cooperative trajectory planning.The cooperative safety spacing model was proposed to guarantee and improve the safety of all vehicles,and it essentially developed constraints for the trajectory-planning task.Trajectory planning was treated as an optimization problem with the objective of maximizing safety,comfort,and lane-change efficiency under the constraints of vehicle dynamics and the aforementioned safety spacing model.Trajectory tracking based on a model predictive control method was designed to minimize tracking errors and control increments.Finally,to verify the validity of the proposed maneuver,an integrated simulation platform combining MATLAB/Simulink with CarSim was established.Moreover,a hardware-in-the-loop test bench was performed for further verification.The results indicated that the proposed multi-vehicle cooperative automated lane-change maneuver can achieve lane changes of multiple vehicles and increase lane-change efficiency while guaranteeing safety and comfort. | Yugong Luo Gang Yang Mingchang Xu Zhaobo Qin Keqiang Li | 2019 | Automotive Innovation2019，2，3： | 3 |
| 18 | Cost-efficient Thermal Management for a 48V Li-ion Battery in a Mild Hybrid Electric Vehicle显示文摘The 48V mild hybrid system is a cost-efficient solution for original equipment manufacturers to meet increasingly stringent fuel consumption requirements.However,hybrid functions such as auto-stop/start and brake regeneration are unavailablewhen a 48V battery is at very low temperature because of its limited charge and discharge capability.Therefore,it is important to develop cost-efficient thermal management to warm-up the battery of a 48V mild hybrid electric vehicle(HEV)to recover hybrid functions quickly in cold climate.Following the model-based“V”process,we first define the requirements and then design different mechanisms to heat a 48V battery.Afterward,we build a 48V battery model in LMS AMESim and conduct co-simulation with simplified battery management system and hybrid control unit algorithms in MATLAB Simulink for analysis.Finally,we carry out a series of vehicle experiments at low temperature and observe the effect of heating to validate the design.Both simulation results and experimental data show that a cold 48V battery placed in a cabin with hot air can be heated effectively in the developed“Enhanced Generator Mode with 48V Battery”mode.The entire design is in a newly developed software that cyclically charges and discharges a 48V battery for quick warm-up in cold temperature without needing any additional hardware such as a heater,making it a cost-efficient solution for HEVs. | Chao Yu Guangji Ji Chao Zhang John Abbott Mingshen Xu Pieter Ramaekers Jianxiang Lu | 2018 | Automotive Innovation2018，1，4： | 3 |
| 19 | Kalman Filter-Based Fusion Estimation Method of Steering Feedback Torque for Steer-by-Wire Systems显示文摘Universal challenge lies in torque feedback accuracy for steer-by-wire systems,especially on uneven and low-friction road.Therefore,this paper proposes a fusion method based on Kalman filter that combines a dynamics-reconstruction method and disturbance observer-based method.The dynamics-reconstruction method is designed according to the vehicle dynamics and used as the prediction model of the Kalman filter.While the disturbance observer-based method is performed as an observer model of the Kalman filter.The performance of all three methods is comprehensively evaluated in a hardware-in-the-loop system.Experimental results show that the proposed fusion method outperforms dynamics reconstruction method and disturbance observer-based method.Specifically,compared with the dynamics-reconstruction method,the root mean square error is reduced by 36.58%at the maximum on the flat road.Compared with the disturbance observer-based method,the root mean square error is reduced by 39.11%at the maximum on different-friction and uneven road. | Lin Zhang Qiang Meng Hong Chen Yanjun Huang Yang Liu Konghui Guo | 2021 | Automotive Innovation2021，4，4： | 3 |
| 20 | Hardware Design and Test of a Gear-Shifting Control System of a Multi-gear Transmission for Electric Vehicles显示文摘The performance of electric vehicles is affected by the shift quality of multi-gear transmission.The realization of dual-target tracking control requires the transmission control unit(TCU)to accurately measure and process the input signals of the gear-shifting control system and precisely control the drive motor torque and the position of shift motors.An electric-vehicle-dedicated TCU was designed to meet the above design requirements.Its function modules included a single-chip control circuit,shift position signal sampling circuit,signal conditioning circuit of the rotational speed and angle,controller area network communication circuit,and shift motor drive circuit.A hardware-in-the-loop simulation test system showed that the TCU design scheme met measurement accuracy requirements and coordinated the actions of the shift actuator and motor control unit to achieve fast and smooth shifting before the road test.The power interruption time of the shifting process was within 350 ms.The reliability of the TCU design was further verified in a 150,000-km vehicle road test. | Feng Tian Liqi Sui Yuanfan Zeng Bo Li Xingyue Zhou Lijun Wang Hongxu Chen | 2019 | Automotive Innovation2019，2，3： | 3 |
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