混合动力轿车动力总成控制系统的研发

开发了一种并联式HEV的动力总成控制系统,可实现HEV能量管理和状态切换控制。动力总成控制系统在硬件在环测试中进行了功能验证和调试,在实际路面上进行了实车功能和性能试验。实车试验结果表明所研发的动力总成控制策略具有良好的控制品质,能够满足混合动力电动汽车的使用要求。     

混合动力电动汽车的发展

混合动力电动汽车(HEV)已经成为当前汽车行业研究的热点,本文介绍了HEV的发展状况,分析了HEV的发展状况,分析了HEV动力总成控制系统的研究特点.     

大客车动力总成的快速匹配

基于汽车原理及优化设计原理,以Matlab软件为计算平台,开发了一套精确实现大客车动力总成匹配的计算机程序,程序运行结果可生成客车多种动力特性图,为大客车动力总成的快速匹配提供了目标依据.经过实践证明,此方法直观、实用,可实现客车动力总成的快速匹配.     

混合动力大客车动力总成试验台架的构建及试验研究

为混合动力大客车动力总成研发的需要,设计了一套基于CANoe软件的混合动力总成测控系统,并完成了动力总成试验台架的构建.利用该试验台架和测控系统对所研制SWB6116HEV大客车整车控制策略进行了验证,为整车的进一步开发研究奠定了基础.     

动力总成平台化布置方法研究

动力总成的平台化布置是整车总布置的核心,整理了动力总成初步选型和定位及布置校核的方法,阐述了平台化、布置间隙、驱动轴、整车通过性、安全及热力学性能、四驱系统、右舵车型等对动力总成的布置要求,为发动机舱的总体布置及动力总成的匹配分析提供了参考。     

混合动力电动汽车动力总成换挡过程协调控制仿真

介绍了装有AMT的混合动力电动汽车(HEV)换挡过程协调控制逻辑。在Matlab/Simulink和Matlab/Stateflow平台上建立了动力总成模型,并对分离离合器和不分离离合器的两种不同换挡控制策略下的换挡过程协调控制进行了仿真计算。仿真结果表明,所建立的仿真模型能够对HEV的换挡过程协调控制进行模拟,所采用的协调控制逻辑能够使换挡顺利完成。     

基于设定充电曲线的串联式混合动力汽车动力总成的滑模控制

提出了一种基于设定电池组充电曲线的串联式混合动力汽车动力总成滑模控制策略,动力总成控制系统中设置了两个鲁棒性强的固定边界层滑模控制器,分别控制发动机转速和转矩,使发动机工作点处于效率最优区域;同时设计了适当的电池组充电曲线以利于延长电池组寿命.采用ADVISOR软件的仿真结果,验证了提出策略的有效性和相对传统策略的优越性.     

EQ6110HEV并联混合动力系统参数匹配及性能研究

阐述了EQ6110HEV并联混合动力总成结构和采用的控制策略，提出了并联混合动力汽车动力传动系统参数匹配方法及过程，分析了电机峰值功率及基速点的选取对汽车动力性和经济性的影响。并将匹配方案仿真结果与试验结果进行比较，结果说明该匹配方法正确可行，可为动力总成优化提供理论依据。     

EQ611OHEV并联混合动力系统参数匹配及性能研究

阐述了EQ6110HEV并联混合动力总成结构和采用的控制策略,提出了并联混合动力汽车动力传动系统参数匹配方法及过程,分析了电机峰值功率及基速点的选取对汽车动力性和经济性的影响.并将匹配方案仿真结果与试验结果进行比较,结果说明该匹配方法正确可行,可为动力总成优化提供理论依据.     

基于CAN的混合动力汽车监控平台的开发

介绍了并联式混合动力汽车结构,其中发动机控制器、电机控制器、整车控制器通过CAN网络进行通信.为了实时监控各个控制器的状态参数和修改控制器中的脉谱数据,采用Labview 7.0软件开发了混合动力车基于CAN总线的实时监控平台.试验表明此平台具有控制器各个参数实时显示、控制指令发送、CAN总线数据测试、数据保存、数据回放、安全报警等功能,具有良好的人机交互界面,适合混合动力总成台架和整车标定匹配试验.     

新型混合动力汽车（PHEV）技术简介

本文浅谈了一种新型的混合动力汽车—PHEV,从它的特点、动力系统结构、关键技术三方面进行了系统的阐述,指出PHEV将是传统汽车向纯电动汽车过渡的最佳方案之一。     

多能源动力总成半实物仿真试验系统研究

采用软件工程方法，在MATLAB／Simulink建立汽车各总成模型的基础上，辅以I／O、A／D、D／A、USB和CAN接口板，集成为混合动力轿车动力总成控制器仿真试验测试平台。该试验系统能对不同控制策略和硬件结构组成的实际动力总成电控系统，进行实时仿真、测试和评价。     

燃料电池混合动力汽车动力系统匹配与优化研究

首先,基于中国客车典型循环工况对燃料电池混合动力系统进行匹配计算,确定了电动机、燃料电池发动机和蓄电池的基本参数;然后基于中国客车典型循环工况,建立燃料电池混合动力系统的优化模型,采用序列二次规划算法进行优化,分析了各种参数对整车燃料经济性的影响,包括燃料电池发动机与动力蓄电池之间的功率分配比、SOC的初始值与目标值、变速器传动比及传动比间隔以及主减速比等,为燃料电池混合动力汽车的构型提供指导。     

Motor control of input-split hybrid electric vehicles

A motor control strategy for an input-split hybrid electric vehicle (HEV) is proposed. From a power characteristic analysis, it is found that the powertrain efficiency decreases for speed ratios at which power circulation occurs. Using dynamic models of an input-split HEV powertrain, a motor-generator control algorithm for obtaining high system efficiency is designed by inversion-based control. The performance of the control algorithm is evaluated by the simulator which is developed based on PSAT, and simulation results are compared with the test results. It is found that, even if the engine thermal efficiency is sacrificed by moving the engine operation point from the OOL for the control strategy, improved overall powertrain system efficiency can be achieved by the engine operation that gives a relatively high efficiency from the viewpoint of the overall powertrain efficiency. The control algorithm developed can be used in design of future electric vehicles.     

混合动力电动汽车驱动系统的开发与应用

本文在分析了混合动力电动汽车开发现状的基础上，对目前几种比较成功的混合动力驱动系统的建模仿真开发方法进行了阐述，并研究了国外几种典型的混合动力驱动系统的控制策略，以作为我国混合动力电动汽车的开发研制之鉴。     

Economic value and utility of a powertrain system for a plug-in parallel diesel hybrid electric bus

This research is the first to develop a design for a powertain system of a plug-in parallel diesel hybrid electric bus equipped with a continuously variable transmission (CVT) and presents a new design paradigm of the plug-in hybrid electric bus (HEB). The criteria and method for selecting and sizing powertrain components equipped in the plug-in HEB are presented. The plug-in HEB is designed to overcome the vulnerable limitations of driving range and performance of a purely electric vehicle (EV) and to improve fuel economy and exhaust emissions of conventional bus and conventional HEBs. The control strategy of the complicated connected propulsion system in the plug-in parallel HEB is one of the most significant factors in achieving higher fuel economy and lower exhaust emissions of the HEV. In this research, a new optimal control strategy concept is proposed against existing rule-based control strategies. The optimal powertrain control strategy is obtained through two steps of optimizations: tradeoff optimization for emission control and energy flow optimization based on the instantaneous optimization technique. The proposed powertrain control strategy has the flexibility to adapt to battery SOC, exhaust emission amount, classified driving pattern, driving condition, and engine temperature. The objective of the optimal control strategy is to optimize the fuel consumption, electricity use, and exhaust emissions proper to the performance targets. The proposed control strategy was simulated to prove its validity by using analysis simulation tool ADVISOR (advanced vehicle simulator).     

混合动力电动汽车能量自适应模糊控制研究

为了实现混合动力电动汽车两种能量的最佳分配,确保电机、蓄电池的合理运行,建立了前向并联式混合动力电动汽车动力系统模型,提出了采用自适应模糊控制方法对动力系统进行能量分配,设计了控制器,讨论了自组织控制器的规则自我调整过程。整车循环工况仿真试验表明该控制具有较强的鲁棒性,可使电机、发动机、蓄电池等动力设备工作于最佳工况。     

Plug-in HEV with CVT: configuration,control, and its concurrent multi-objective optimization by evolutionary algorithm

Plug-in Hybrid Electric Vehicle (Plug-in HEV) has dramatic improvements in fuel economy and emission reduction. It is most important to decide its optimal configuration, energy management strategy, powertrain sizes, and control logic parameters. For multi-objective optimization, we present a concurrent optimization methodology based on an optimal Plug-in HEV powertrain configuration with continuous variable transmission (CVT). The novelty is using evolutionary algorithm in conjunction with an instantaneous optimal energy management strategy. Simulation results indicate the proposed method can significantly reduce fuel consumption and emissions by simultaneously optimizing the propulsion system parameters as well as the energy control parameters.     

Application of a modified thermostatic control strategy to parallel mild HEV for improving fuel economy in urban driving conditions

A modified thermostatic control strategy is applied to the powertrain control of a parallel mild hybrid electric vehicle (HEV) to improve fuel economy. This strategy can improve the fuel economy of a parallel mild HEV by operating internal combustion engine (ICE) in a high-efficiency region. Thus, in this study, experiments of a parallel mild HEV were conducted to analyze the characteristics of the hybrid electric powertrain and a numerical model is developed for the vehicle. Based on the results, the thermostatic control strategy was modified and applied to the vehicle model. Also, battery protection logic by using electrochemical battery model is applied because the active usage of battery by thermostatic control strategy can damage the battery. The simulation results of the vehicle under urban driving conditions show that the thermostatic control strategy can improve the vehicle’s fuel economy by 3.7 % compared with that of the conventional strategy. The results also suggest that the trade-off between the fuel economy improvement by efficient ICE operation and the battery life reduction by active battery usage should be carefully investigated when a thermostatic control strategy is applied to a parallel mild HEV.