Design and Analysis of Electro-mechanical Hybrid Anti-lock Braking System for Hybrid Electric Vehicle Utilizing Motor Regenerative Braking

Braking on low adhesion-coefficient roads, hybrid electric vehicle＇s motor regenerative torque is switched off to safeguard the normal anti-lock braking system （ABS） fimction. When the ABS control is terminated, the motor regenerative braking is readmitted. Aiming at avoiding permanent cycles from hydraulic anti-lock braking to motor regenerative braking, a novel electro-mechanical hybrid anti-lock braking system using fuzzy logic is designed. Different from the traditional single control structure, this system has a two-layered hierarchical structure, The first layer is responsible for harmonious adjustment or interaction between regenerative system and anti-lock braking system. The second layer is responsible for braking torque distribution and adjustment. The closed-loop simulation model is built. Control strategy and method for coordination between regenerative and anti-lock braking are developed. Simulation braking on low adhesion-coefficient roads with fuzzy logic control and real vehicle braking field test are presented. The results from simulating analysis and experiment show braking performance of the vehicle is perfect, harmonious coordination between regenerative and anti-lock braking function, significant amount of braking energy can be recovered and the proposed control strategy and method are effective.

Electro-mechanical Braking Method in Hybrid Electric Vehicles Based on Feedback Control Theory

In this paper, the hybrid electric vehicle braking process is researched, by using variables consists of HEV speed, motor speed, and state of charge established, fimctions of mechanical braking force, regenerative braking force and efficiency of energy recovery are constructed, and the control goal is to maximization the energy recovery efficiency. Under the feedback control strategy, with the constrain condition of braking strength and braking stability, combining experiments in ADVISOR, in different experiments of different working conditions, we can see that in UDDS Cycle, the regenerative braking efficiency is the best. What＇s more, compared with strategies in ADVISOR, strategy proposed in this paper is obviously better.

Fuzzy Sliding Mode Control Based on Longitudinal Force Estimation for Electro-mechanical Braking Systems using BLDC Motor

This paper focuses on the controller design using fuzzy sliding mode control(FSMC)with application to electro-mechanical brake(EMB)systems using BLDC Motor.The EMB controller transmits the control signal to the motor driver to rotate the motor.The torque distribution of motors is studied in this paper actually.Firstly,the model of the EMB system is established.Then the state observer is developed to estimate the vehicle states including the vehicle velocity and longitudinal force.Due to the fact that the EMB system is nonlinear and uncertain,a FSMC strategy based on wheel slip ratio is proposed,where both the normal and emergency braking conditions are taken into account.The equivalent control law of sliding mode controller is designed on the basis of the variation of the front axle and rear axle load during the brake process,while the switching control law is adjusted by the fuzzy corrector.The simulation results illustrate that the FSMC strategy has the superior performance,better adaptability to various types of roads,and shorter braking distance,as compared to PID control and traditional sliding mode control technologies.Finally,the hardware-in-loop(HIL)experimental results have exemplified the validation of the developed methodology.

Parameters Matching and Control Method of Hydraulic Hybrid Vehicles with Secondary Regulation Technology

Hydraulic hybrid vehicles （HHV） with secondary regulation technology has the potential of improving fuel economy by operating the engine in the optimum efficiency range and making use of regenerative braking. Hydrostatic transmission technology has the advantage of higher power density and the ability to accept the high rates and high frequencies of charging and discharging, both of which are not favorable for batteries, but the lower energy density requires special power matching design and control strategy to coordinate all the powertrain components in an optimal manner. A multi-objective optimization method is proposed to distinguish the components size values of HHV by considering the requirements of driving cycles and technology aspects. The regenerative braking strategy and energy control strategy based on the optimized HHV is proposed to recovery the braking energy and distribute the regenerated braking energy. Simulation results show that by taking the optimized configuration of HHV, adopting the regenerative braking strategy and energy control strategy are helpful to improve the system efficiency and fuel economy of HHV under urban driving cycles.

An Investigation into Regenerative Braking Control Strategy for Hybrid Electric Vehicle

Energy regeneration during braking is an important technique for hybrid electric vehicle (HEV) to improve their fuel economy and extend their driving range. Due to the effect of regenerative braking torque which is added by electric motor, the braking torque distribution between front and rear axles should be changed and the control logic of anti-lock braking system (ABS) ought to be adjusted according to the regenerative braking torque. This paper put forward a braking control strategy for hybrid electric vehicle; the control strategy is implemented with eight DOFs (Degree-of-Freedom) nonlinear vehicle forward simulation model which is built under the environment of Matlab/Simulink. Based on target wheel slip ratio, a fuzzy logic approach was applied to maintain the optimal target slip ratio so that best compromise between hydraulic torque and regenerative torque can be obtained for the vehicle.

Robotic Walker for Slope Mobility Assistance with Active-Passive Hybrid Actuator

Walking assistance can be realized by active and passive robotic walkers when their users walk on even roads.However,fast signal processing and real-time control are necessary for active robotic walkers when the users walk on slopes,while assistive forces cannot be provided by passive robotic walkers when the users walk uphill.A robotic walker with an active-passive hybrid actuator(APHA)was developed in this study.The APHA,which consists of a rotary magnetorheological(MR)brake and a DC motor,can provide mobility assistance to users walking both uphill and downhill via the cooperative operation of the MR brake and DC motor.The rotary MR brake was designed with a T-shaped configuration,and the system was optimized to minimize the brake volume.Prototypes of the APHA and robotic walker were constructed.A control algorithm for the robotic walker was developed based on the characteristics of the APHA and the structure of the robotic walker.The mechanical properties of the APHA were characterized,and experiments were conducted to evaluate the mobility assistance supplied by the robotic walker on different roads.The results show that the APHA can meet the requirements of the robotic walker,and suitable assistive forces can be provided by the robotic walker,which has a simple mechanical structure and control method.

Regenerative braking control for hybrid electric vehicles under decelerating condition

The operating mode of a single shaft hybrid electric vehicle （SSHEV） in which the electric motor exerts negative torque on the shaft to imitate engine braking is analyzed. The method of determining the quantity of regenerative braking torque is proposed with the premise that the braking intensity required by the driver is satisfied. On this basis, factors that affect torque generated by the motor are listed, and how the battery＇ s temperature and state of charge （ SOC ） restrict and correct the braking torque is expounded. Finally, road test results show that the motor＇ s constant power or constant torque control is an effective way to recover the mechanical energy during decelerating.

A Novel Braking Control Strategy for Hybrid Electric Buses Based on Vehicle Mass and Road Slope Estimation

Proper braking force distribution strategies can improve both stability and economy performance of hybrid electric vehicles,which is prominently proved by many studies.To achieve better dynamic stable performance and higher energy recovery efficiency,an effective braking control strategy for hybrid electric buses(HEB)based on vehicle mass and road slope estimation is proposed in this paper.Firstly,the road slope and the vehicle mass are estimated by a hybrid algorithm of extended Kalman filter(EKF)and recursive least square(RLS).Secondly,the total braking torque of HEB is calculated by the sliding mode controller(SMC),which uses the information of brake intensity,whole vehicle mass,and road slope.Finally,comprehensively considering driver’s braking intention and regulations of the Economic Commission for Europe(ECE),the optimal proportional relationship between regenerative braking and pneumatic braking is obtained.Furthermore,related simulations and experiments are carried out on the hardware-in-the-loop test bench.Results show that the proposed strategy can effectively improve the braking performance and increase the recovered energy through precise control of the braking torque.

Torsional vibration active control of hybrid construction machinery complex shafting

Due to the coaxial connection of engine, motor and pump, the dynamic characteristics of hybrid construction machinery are changed, which generates a new torsional vibration problem of multi-power sources. To reduce the torsional vibration of the hybrid construction machinery complex shafting, torsional vibration active control was proposed. The three-mass model of coaxial shafting of hybrid construction machinery was established. The PID control and the fuzzy sliding mode control were chosen to weaken torsional vibration by controlling the motor speed and torque. The simulation results show that the fuzzy sliding mode control has 12% overshoot of the PID control when the engine torque changes. The active control is effective and can realize smooth power switch.

Operation control strategy of series-parallel hydraulic hybrid vehicle

A series-parallel hydraulic hybrid system applied to public buses is put torwaro, ano parameters of key components are analyzed and determined. Energy management strategy based on logic thresh- old is designed which is aimed at efficient operation of the overall system considering the operational characteristic of the components and taking the curves of engine, hydraulic pump/motor and hydrau- lic pump as the main design basis; regenerative control strategy which makes regenerative brake sys- tem and frictional brake system work harmoniously is designed to raise recovery rate of regenerative brake energy. System dynamic modeling and simulation results show that the energy control strategy designed here is able to adapt system to changes of working condition and switch the operating mode reasonably. The regenerative braking control strategy is effective in raising the utilization of energy and improving fuel economy.

Feasibility study of a diesel-powered hybrid DMU

Nowadays,the interest in hybrid vehicles is constantly increasing,not only in the automotive sector,but also in other transportation systems,to reduce pollution and emissions and to improve the overall efficiency of the vehicles.Although railway vehicles are typically the most eco-friendly transportation system,since commonly their primary energy source is electricity,they can still gain benefits from hybrid technologies,as many lines worldwide are not electrified.In fact,hybrid solutions allow ICEpowered(internal combustion engine)railway vehicles,such as diesel multiple units(DMUs),to operate in fullelectric mode even when the track lacks electrification.The possibility to switch to full electric mode is of paramount importance when the vehicle runs on urban or underground track sections,where low or zero emission levels are required.We conduct the feasibility study of hybridization of an existing DMU vehicle,designed by Blue Engineering S.r.l.,running on the Aosta–Torino Italian railway line,which includes a non-electrified urban track section and an electrified underground section.The hybridization is obtained by replacing one of the diesel generators installed on the original vehicle with a battery pack,which ensures the vehicle to operate in full-electric mode to complete its mission profile.The hybridization is also exploited to implement a regenerative braking strategy,which allows an increase in the energetical efficiency of the vehicle up to 18%.This work shows the sizing of the battery pack based on dynamic simulations performed on the Turin underground track section,and the results demonstrate the feasibility of the hybridization process.

Nonlinear and Rate-Dependent Hysteretic Responses of Active Hybrid Composites

Nonlinear electro-mechanical behaviors of piezoelectric materials and viscoelastic nature of polymers result in the overall nonlinear and hysteretic responses of active polymeric composites. This study presents a hybrid-unit-cell model for obtaining the effective nonlinear and rate-dependent hysteretic electro-mechanical responses of hybrid piezocomposites. The studied hybrid piezocomposites consist of unidirectional piezoelectric fibers embedded in a polymeric matrix, which is reinforced with piezoelectric particles. The hybrid-unit-cell model is derived based on a unit-cell model of fiber-reinforced composites consisting of fiber and matrix subcells, in which the matrix subcells are comprised of a unit-cell model of particle-reinforced composites. Nonlinear electro-mechanical responses are considered for the piezoelectric constituents while a viscoelastic solid constitutive model is used for the polymer constituent. The hybrid-unit cell model is used to examine the effects of different responses of the constituents, microstructural arrangements, and loading histories on the overall nonlinear and hysteretic electro-mechanical responses of the hybrid piezocomposites, which are useful in designing active polymeric composites.

基于潮流转移装置的混合储能接入牵引供电系统控制策略研究

采用单相工频交流制式的电气化铁路具有无污染、运输效率高的优点,但在现有的牵引供电系统中,负序和再生制动能量利用的问题较为突出。因此,文章提出了一种集成混合储能系统的潮流转移拓扑。文章分析了集成混合储能的潮流转移装置的拓扑结构,研究了削峰、填谷、再生制动和同相运行模式及其能量管理策略;为减少系统损耗,进一步提高系统再生制动能量利用率和削峰填谷的控制精度,文章提出了一种协调控制策略,并采用无源控制的非线性电流控制器提升变流器控制响应速度。仿真结果表明,该系统可以充分利用牵引供电系统的再生制动能量,提高系统中能量流动的灵活性,并且解决了牵引供电系统中的负序问题。

电液混合动力系统关键技术及能量管理研究综述

现有混合动力驱动技术以油电、油液混合动力为主,旨在提高传统燃油车辆的能量利用率、降低油耗和排放.基于液压技术的大功率密度及能量再生优势,电液混合动力系统可在全速工况范围内实现能量高效利用,提高纯电驱系统的功率密度,有效改善电动车辆续驶里程及蓄电池循环使用寿命.本文对电液混合动力系统构型、能量回收技术、能量释放模式及控制策略等相关研究成果的进展、现状及发展趋势进行综述,分析了利用电液混合动力构型与先进能量管理策略提升纯电动车辆动力性能与能量利用率的可行性技术方案与应用前景.根据已有研究成果,装备电液混合动力系统后车辆最大可降低约40%的能量消耗,在能量高效利用方面具有显著优势.对于电液混合动力系统而言,液压能再生、耦合与释放等与行驶场景及电机工况点密切相关,研究重点应解决动力耦合、再生制动与能量管理等关键技术,从而提升动力系统的综合性能特别是功率密度与节能特性.

面向混合动力汽车液压再生能量控制策略研究

针对混合动力汽车制动能量回收控制,提出了一种基于模糊Q学习的液压再生制动系统能量回收效率优化算法。建立了基于并联液压混合动力系统的汽车动力学模型,通过模糊Q学习法对汽车再生制动控制策略进行了优化。在此基础上建立了试验平台,验证液压再生制动仿真模型的准确性。与基于专家经验的模糊控制策略、动态规划算法相比,结果表明,经模糊Q学习算法优化的汽车节能率分别提高了9.62%和8.91%。

混合动力汽车驱动策略与能量回收的发展综述

混合动力汽车可以通过协调不同的动力来源和回收制动能量来满足电力需求,从而优化能源使用效率和汽车行驶性能。首先对串联式、并联式和混联式这三种混合动力汽车动力系统结构进行了深入分析,接着讨论了能量管理策略,最后研究了制动能量回收和能量计算,以及制动回收能量结构与流程和影响能量回收的因素。希望为后续从事相关工作的研究者做出参考贡献。

基于ABS+ESC混合动力商用车制动系统的开发应用

基于传统底盘的混合动力商用车整车开发流程是在传统防抱死制动系统(ABS)+电子稳定控制(ESC)系统商用车开发流程的基础上,将传统的燃油发动机制动系统与传统商用车二类底盘做匹配的过程。文章详细阐述了混合动力制动系统在传统燃油制动系统增加纯电模式,匹配电控空压机、电控空气干燥器、ABS+ESC的设计、储气筒容积、电控脚制动阀及管线的匹配设计。通过匹配计算选型,搭载整车通过各种道路试验对制动性能做全方位的试验验证过程及应用。通过对混合动力牵引车的制动系统制动效能的验证及制动时方向稳定性等制动性能方面的试验,发现制动响应时间、制动减速度、制动距离、驻车制动性能及应急制动性能等满足国家法规要求。

超重型混合动力车辆机电复合制动系统技术

制动系统是保证车辆安全的重要组成部分,直接影响车辆的行驶安全性.传统车辆在高速、长时间、大制动力制动时,车辆动能通过制动器转化为热能损失掉.而对于超重型混合动力车辆,采用现有机械摩擦制动的基础上增加电气制动系统(即机电复合制动系统),既能够保证制动安全性,又能够实现能量回收,对消耗的能源进行补充.

城市轨道交通供电-牵引-混合储能系统设计与仿真

为了进一步提高城市轨道交通列车再生制动能量的回收与利用效率,通过对系统功能需求分析,设计一种基于分布式地面混合储能城市轨道交通列车牵引供电系统结构,建立供电网络、列车牵引和储能系统模型。同时针对低通滤波方式导致锂电池和超级电容出现大量功率交换的问题,提出带超级电容补偿的阶梯功率分配法,该方法运算量小且实时性强,能够避免混合储能系统内部功率循环。结合所提模型和策略,利用MATLAB/Simulink进行仿真试验,仿真结果表明混合储能系统能量利用效率提高了1.39%,稳压率提高了12.75%,节能率提高了6.72%。

混合励磁式电涡流制退机电磁场与阻力特性分析

电涡流制退机具有无液体泄漏、无需密封、阻力稳定的优势。与目前应用较多的永磁式电涡流制退机相比,混合励磁式电涡流制退机采用线圈替代了一部分永磁体,对阻力特性的调节效果更好。对比了混合励磁式电涡流制退机2种可能的结构形式,然后根据磁路分析与初步计算选择出具有更好阻力性能的结构。针对该结构,利用等效磁路法计算气隙磁场,采用子域模型考虑感生涡流影响,建立了求解混合励磁式电涡流制退机阻力值的等效子域模型。根据某口径火炮反后坐要求,确定了制退机的主要尺寸参数,完成了混合励磁式电涡流制退机结构参数的前期设计,并通过数值计算对解析计算结果进行了验证。接着,针对某口径火炮发射时的工况建立仿真模型,以炮膛合力曲线和复进机力的后坐行程函数曲线作为条件输入,分析强冲击载荷下混合励磁式电涡流制退机的电磁阻尼力、后坐位移和后坐速度规律。最后,分析了不同气隙宽度与内筒的电导率对电磁阻尼力的影响,结果表明气隙宽度越小电磁阻尼力越大,同时过大的内筒电导率会导致电磁阻尼力呈现“马鞍”型。本文研究可为混合励磁式电涡流制退机的工程化应用提供理论基础。