Electronic Unit Pump Diesel Engine Control Unit Design for Integrated Powertrain System

The performance of the electronic unit pump (EUP) diesel engine is studied, it will be used in the integrated powertrain and its multi parameters are controllable. Both the theoretical analysis and experiment research are taken. A control unit for the fuel quantity and timing in crankshaft domain is designed on this basis and the engine experiment test has been done. For the constant speed camshaft driving EUP system, the fuel quantity will increase as the supply angle goes up and injection timing has no effect. The control precision can reach 1°CA. The full injection timing MAP and engine peak performance curves are made successfully.

Rules for Amalgamating the Reliability of Elements of Powertrain Systems at Maintenance

The amalgamation procedure is actual when using structural methods of reliability.This may apply as the case of the action of a complex of damaging processes on a structural element and the case of the action of a certain damaging process on a system of elements.Classical methods of reliability are poorly adapted for powertrain mechanical systems with a series structural scheme of elements subjected to the gradual influence of several degradation processes.The problem of amalgamation of individual indicators is exacerbated at the stage of operation when diagnosing the technical state of the mechanical system.The application of the classical rule of amalgamation by multiplying the probabilities of survival leads to the effect of over-maintenance.New rules of amalgamation have been developed,which deprive the assessment of the reliability of excessive conservatism.The complex index of the technical condition is offered—the resource safety index(RSI).Its use determines the remaining lifetime.The algorithm for searching the RSI contains an assessment of the criticality of the failure.The search of RSI under the influence of the complex of damaging processes on the element of the powertrain system is demonstrated.The efficiency of the RSI method is shown by the example of the reliability assessment of aircraft bolts.Application of the RSI method increases the guaranteed lifetime by 4-10 times compared with traditional methods.

Challenges and solutions in automotive powertrain systems

Automotive powertrain mainly consisting of combustion engine,motor and battery(i.e.special for hybrid powertrain)is a very complicated integration system,and the research on the automotive powertrain control techniques remains hot-spot in past decades.This paper proposes some challenging issues and control solutions of automotive powertrain system from the perspective of the dynamic system theory.The typical characteristics of automotive powertrain system are analysed for control development,and the several control applications using model-based and model-free control design are demonstrated with sufficient experimental validation.In addition,some open issues for future powertrain control development are summarised.

Systematical Development of NVH Engineering for Vehicle Electrical Powertrain Based on an Optimized V-Model

For systematical NVH development of vehicle (especially for mass-production passenger vehicles) electric powertrain, an optimized V-Model is designed and has been implemented in the entire component-vehicle development, which integrates three individual branches: simulation, validation and optimization. Compared to the V-models in the traditional sense, this optimized V-model is not only driven by requirement and task accomplishment but also maximum optimization of NVH system performance. In this case, developing procedures are capable to be efficiently iterated and the NVH engineering can be expanded into 3D with this V-model.

纯电动汽车电驱动系统故障诊断研究进展

为全面梳理纯电动汽车电驱动系统故障诊断的发展现状,明确未来发展趋势,本文首先介绍了纯电动汽车电驱动系统的基本架构、功能及发展历程;然后详细总结了纯电动汽车电驱动系统关键部件的故障类型及原因,分析了纯电动汽车电驱动系统关键部件故障诊断方法的主要研究现状;接着将诊断方法从专家知识驱动、模型驱动、信号驱动和数据驱动4个方面详细综述了纯电动汽车电驱动系统国内外研究进展和发展动态,并针对不同方法的优缺点进行了对比;最后对纯电动汽车电驱动系统故障诊断所面临的问题及发展方向进行了分析和展望,进一步讨论并指出未来纯电动汽车电驱动系统故障诊断研究可以集中在变工况耦合故障诊断、微小故障诊断和前期故障诊断研究、实时在线故障诊断、基于故障诊断的智能运维、未知故障诊断与系统自愈技术等方面。

小型全电/混动飞机技术路线与动力系统综述

该文对小型全电/混动载人飞机的技术发展路线、航空推进电机、动力系统架构进行分析、总结与展望。首先,从载人飞机的气动布局、结构拓扑、动力源和起降形式等方面分析,分出6条技术路线,总结各自的乘客数、最大起飞重量、巡航速度、功率和航程等技术指标。其次,总结已装机或拟装机航空推进电机的技术参数和应用机型。对先进航空推进电机的发展现状,按功率等级分类探讨了三相永磁电机、多相永磁电机、兆瓦级涡轮机驱动的兆瓦级电机/发电机、高温超导电机。最后,对6种动力系统架构的技术路线特点、关键技术进行梳理,分析载人全电/混动飞机未来的发展方向。国内载人电动/混动飞机领域刚起步,该文的研究工作对飞机的总体气动布局设计、功率需求、器件选型、动力系统设计具有重要的参考价值。

燃料电池汽车动力系统及能量管理策略研究进展

动力系统是燃料电池汽车(FCV)的核心,可分为单一式系统与混合动力系统两大类,其中,将燃料电池与辅助电源相结合组成“电-电”混合动力系统,已成为业界主流。本文根据辅助电源类型的不同,提出3类FCV混动系统的构建方案,分别为燃料电池+动力电池方案、燃料电池+超级电容方案、燃料电池+动力电池+超级电容方案,并对各方案的优势和劣势进行比较。同时,本文综述了近年来国内外学者提出的面向FCV的代表性能量管理策略,从理论基础与求解方法的差异出发,将现有燃料电池汽车的能量管理策略分为3类:基于规则定义的策略、基于最优化方法的策略以及基于机器学习的策略,并总结了各类策略在最优性与实时性等方面的优势和劣势。其中,基于规则定义的策略最易实现,在工程应用中最为普遍,但无法实现性能最优;基于最优化方法的策略能够接近甚至达到理论最优,但存在计算量过大、计算耗时过长、实时性差等问题;以强化学习为代表的基于机器学习的策略有望在最优性与实时性之间实现理想的平衡,但目前还存在模型训练耗时长、试错代价高等困难,在实车应用层面还存在一定挑战。基于文献研究与分析,本文提出以下观点:1)以大功率燃料电池为核心的功率混合型系统是FCV混动系统的未来发展方向;2)必须进一步提升智能化程度,根据实际使用场景开发具有个性化的能量管理策略;3)亟需建立关于燃料电池汽车能量管理策略的综合评价体系。

基于概率模型和数据驱动的动力总成悬置系统可靠性优化

针对电动汽车动力总成悬置系统(PMS)一部分参数为概率变量,一部分参数为离散数据的复杂不确定情形,开展了基于概率模型和数据驱动的电动汽车PMS可靠性优化设计研究。首先,基于任意多项式混沌(APC)展开和广义最大熵原理推导了一种求解该复杂不确定情形下PMS响应不确定性和可靠性的高效方法;然后,基于蒙特卡洛抽样,给出了该复杂不确定情形下求解PMS响应不确定性和可靠性的参考方法;接着,提出了一种基于APC展开法的灵敏度分析方法,进一步提出了一种考虑响应不确定性和可靠性的PMS优化设计方法;最后,通过应用算例验证方法的有效性,并对系统进行了灵敏度分析和可靠性优化。结果表明,所提出的方法可有效地处理电动汽车PMS一部分参数为概率变量、一部分参数为离散数据的复杂不确定情形,并能可靠地优化该情形下的系统固有特性,且方法具有较高的计算精度和计算效率。

新能源汽车电动力总成项目开发过程管控研究

为有效管控项目风险、优化项目资源、提升电动力总成系统的开发质量和效率,确保按期保质交付整车,强化项目开发的过程管控是极其重要的。开发过程全量任务分解、阶段性交付目标明确定义、过程任务跟踪执行到位、过程风险主动提前识别并制定应对措施是项目高质量交付的有力保障。在对对电动力总成项目开发管理理念和流程进行论述的基础之上,提出了标准化、模块化的项目任务过程管控机制,并对其关键任务模块进行了详细阐述,为电动力总成系统及其零部件的开发项目过程管控提供了有效的借鉴和参考。

电动力总成系统研发项目管理体系探索

电动力总成系统作为新能源汽车最为核心关键的系统之一,高安全、高性能、高可靠、智能化、低成本,已成为各OEM开发的终极目标。除了依赖强有力的技术开发能力和成熟产业链支撑之外,高效、精细化的研发项目管理体系不可或缺。文章在介绍电动力总成系统组成、特点基础之上,深入分析其当前项目开发管理面临的挑战,并结合实际工程项目开发经验,提出了标准化、精细化的电动力总成系统项目开发管理理念,并对该理念进行详细阐述和研究探索,为开发高品质电动力总成系统提供了强有力的借鉴和参考。

考虑机组弹性的双层隔振系统刚度匹配方法

为解决柴油发电机组对不同类型和功率发电机的连接套与隔振系统刚度匹配问题,提出以广义弹性力做功为基础的能量解耦法来量化刚度匹配对双层隔振系统固有特性的影响.基于某内燃动力总成双层隔振系统建立3自由度和18自由度动力学模型进行分析.结果表明:3自由度模型能够反映系统耦合的主要特点,机组弹性模态频率与低阶刚体振动模态频率比大于2.96时可以降低刚体振动对弹性模态的影响;考虑惯性耦合和弹性耦合后,18自由度模型对应的频率比应大于4.10才可以显著降低该振动耦合.同一柴油机匹配不同惯性参数的发电机,均可参考小惯性参数发电机隔振设计时对应的频率比和刚度比进行双层隔振系统刚度匹配.

OPTIMIZATION APPROACH FOR HYBRID ELECTRIC VEHICLE POWERTRAIN DESIGN

According to bench test results of fuel economy and engine emission for thereal power-train system of EQ7200HEV car. a 3-D performance map oriented quasi-linear model isdeveloped for the configuration of the powertrain components such as internal combustion engine,traction electric motor, transmission, main retarder and energy storage unit. A genetic algorithmbased on optimization procedure is proposed and applied for parametric optimization of the keycomponents by consideration of requirements of some driving cycles. Through comparison of numericalresults obtained by the genetic algorithm with those by traditional optimization methods, it isshown that the present approach is quite effective and efficient in emission reduction and fueleconomy for the design of the hybrid electric car powertrain.

Method of Electric Powertrain Matching for Battery-powered Electric Cars

The current match method of electric powertrain still makes use of longitudinal dynamics, which can’t realize maximum capacity for on-board energy storage unit and can’t reach lowest equivalent fuel consumption as well. Another match method focuses on improving available space considering reasonable layout of vehicle to enlarge rated energy capacity for on-board energy storage unit, which can keep the longitudinal dynamics performance almost unchanged but can’t reach lowest fuel consumption. Considering the characteristics of driving motor, method of electric powertrain matching utilizing conventional longitudinal dynamics for driving system and cut-and-try method for energy storage system is proposed for passenger cars converted from traditional ones. Through combining the utilization of vehicle space which contributes to the on-board energy amount, vehicle longitudinal performance requirements, vehicle equivalent fuel consumption level, passive safety requirements and maximum driving range requirement together, a comprehensive optimal match method of electric powertrain for battery-powered electric vehicle is raised. In simulation, the vehicle model and match method is built in Matlab/simulink, and the Environmental Protection Agency (EPA) Urban Dynamometer Driving Schedule (UDDS) is chosen as a test condition. The simulation results show that 2.62% of regenerative energy and 2% of energy storage efficiency are increased relative to the traditional method. The research conclusions provide theoretical and practical solutions for electric powertrain matching for modern battery-powered electric vehicles especially for those converted from traditional ones, and further enhance dynamics of electric vehicles.

Toward More Electric Powertrains in Aircraft:Technical Challenges and Advancements

The main purpose of this article is to provide an instructive review of the technological challenges hindering the road toward more electric powertrains in aircraft.Hybrid,all-electric,and turboelectric powertrain architectures are discussed as possible fuel consumption and weight reduction solutions.Among these architectures,the short-term implementation of hybrid and all-electric architectures is limited,particularly for large-capacity aircraft due to the low energy/power density levels achievable by state-of-the-art electrical energy storage systems.Conversely,turboelectric architectures with advanced distributed propulsion and boundary layer ingestion are set to lead the efforts toward more electric powertrains.At the center of this transition,power converters and high-power density electric machines,i.e.,electric motors and generators,and their corresponding thermal management systems are analyzed as the key devices enabling the more electric powertrain.Moreover,to further increase the fuel efficiency and power density of the aircraft,the benefits and challenges of implementing higher voltage powertrains are described.Lastly,based on the findings collected in this article,the projected roadmap toward more electric aircraft powertrains is presented.Herein,the individual targets for each technology,i.e.,batteries,electric machines,and power converters,and how they translate to future aircraft prototypes are illustrated.

THROTTLE CONTROL STRATEGIES IN THE PROCESS OF INTEGRATED POWERTRAIN CONTROL

Combining with the development of automated manual transmission （AMT）, the various throttle control demands are analyzed under different working conditions of AMT such as tracking acceleration pedal, start, shift and so on. Based on simulation, the responding throttle control strategies are proposed, and a simple but effective throttle control method is presented. The testing results have proved that the strategies are effective for improving the pedal tracking precision and the qualities of start and shift.

Analysis of vehicle powertrain dynamic performance

To study the vehicle dynamic characteristics under typical cycle conditions, a steady-state simulation model of the engine in GT-Power is established and verified with engine bench test data. A dynamic model of the engine is then established. A co-simulation with the engine dynamic model in GT-Power and the vehicle transmission model in AMESim is conducted based on the technology of HLA/RTI. The parameter changes of vehicle powertrain in the accelerating process of 0 - 32 km/h, and vehicle typical cycle conditions are studied. The influence laws of the typical parameters influen- cing vehicle dynamic characteristics are obtained, and a new approach of improving vehicle dynamic characteristics is proposed. The results show that the vehicle powertrain dynamic model can simu- late, analyze and predict dynamic changes of vehicle in actual operating conditions and guide power- train matching and optimization.

Powertrain Fuel Consumption Modeling and Benchmark Analysis of a Parallel P4 Hybrid Electric Vehicle Using Dynamic Programming

The goal of this work is to develop a hybrid electric vehicle model that is suitable for use in a dynamic programming algorithm that provides the benchmark for optimal control of the hybrid powertrain. The benchmark analysis employs dynamic programming by backward induction to determine the globally optimal solution by solving the energy management problem starting at the final timestep and proceeding backwards in time. This method requires the development of a backwards facing model that propagates the wheel speed of the vehicle for the given drive cycle through the driveline components to determine the operating points of the powertrain. Although dynamic programming only searches the solution space within the feasible regions of operation, the benchmarking model must be solved for every admissible state at every timestep leading to strict requirements for runtime and memory. The backward facing model employs the quasi-static assumption of powertrain operation to reduce the fidelity of the model to accommodate these requirements. Verification and validation testing of the dynamic programming algorithm is conducted to ensure successful operation of the algorithm and to assess the validity of the determined control policy against a high-fidelity forward-facing vehicle model with a percent difference of fuel consumption of 1.2%. The benchmark analysis is conducted over multiple drive cycles to determine the optimal control policy that provides a benchmark for real-time algorithm development and determines control trends that can be used to improve existing algorithms. The optimal combined charge sustaining fuel economy of the vehicle is determined by the dynamic programming algorithm to be 32.99 MPG, a 52.6% increase over the stock 3.6 L 2019 Chevrolet Blazer.

Electromagnetic Compatibility Design for Powertrain Control Module

In order to improve the electromagnetic compatibility of powertrain control module （PCM）, a system procedure of vehicular PCM electromagnetic alteration is presented in this paper. First of all, the box of the PCM is divided into different cabins to eliminate interferences between power supply circuit, analog circuit and digital circuit. Secondly, the working principle and electromagnetic （EM） characters of all the signals adopted by a typical PCM are analyzed. Then according to specific electromagnetic characters, different measures are adopted in corresponding signal process circuits or signal transfer cables, such as ground layout designing, power supply protecting, signal shielding and drive cable interference suppressing. Finally, further improvement may also needed regarding to practical electromagnetic compatibility test effects. The final test shows that, with all the measures mentioned above, the conducted emission of a PCM can be reduced by 20 dB; meanwhile, the radiated emission can be reduced by 30 dB comparing to the original system.

Optimum Driving System Design for Dual-Motor Pure Electric Vehicles

A pure electric vehicle driven by dual motors is taken as the research object and the driving scheme of the driving motor is improved to increase the transmission efficiency of existing electric vehicles.Based on the architecture of the transmission system,we propose vehicle performance parameters and performance indexes of a pure electric vehicle,a time-sharing driving strategy of dual motors.First,the parameters of the battery,motor,and transmission system are matched.Then,the electric vehicle transmission model is built in Amesim and the control strategy is designed in Simulink.With the optimization goal of improving the vehicle’s dynamic performance and driving range,the optimal parameters are determined through analysis.Finally,the characteristics of the motor are tested on the bench.The results show that the energy-saving potential of the timesharing driven double motor is higher,and the driving mileage of the double motor drive is increased by 4%.

Fuel Saving and Control for Hybrid Electric Powertrains

This paper focuses on comparing the performance of the embedded control of a hybrid powertrain with the original and downsized engine. The main idea is to store the normally wasted mechanical regenerative energy in energy storage devices for later usage. The regenerative energy recovery opportunity exists in any condition where the speed of motion is in the opposite direction to the applied force or torque. A rule based optimal robust control algorithm is developed and is tuned for different work cycles. A comparison of the fuel savings using the hybrid system with the original and downsized engines is performed.