490 research outputs found

    Model Based Optimal Longitudinal Vehicle Control

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    Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2016Thesis (Ph.D.) -- İstanbul Technical University, Institute of Science and Technology, 2016Otomotiv sektöründeki zorlu rekabet ortamı göz önüne alındığında, otomotiv üreticileri müşterilerine daha çekici ve fonksiyonel araçlar sunabilmak için birbirleri ile sürekli bir yarış halindelerdir. Maliyet, emisyon, yakıt ekonomisi, gürültü ve titreşim, dayanıklılık, performans ve araç sürüş özellikleri gibi kriterlerde yapılan iyileştirmeler sayesinde üreticiler rakip firmaların araçlarına göre daha avantajlı bir yere gelmeyi hedeflerler. Bu özelliklerin her biri müşterilerin kullandığı / kullacağı araç için olumlu bir algı oluşturulmasında önemli katkısı vardır. Bilişim ve elektronik sektöründeki araştırma ve gelişmeler faaliyetleri sonucunda elde edilen yeni teknolojiler ışığında otomobil mimarisindeki elektro-mekanik istemlerin kullanımı oldukça artmıştır. Buna ek olarak malzeme bilimi ve üretim teknolojisinde gelişmeler ışığında dizel yakıtlı içten yanmalı motorlarun tork ve güç eğrileri 20 yıl önce üretilen motorlardaki tork ve güç seviyelerine göre neredeyse 2 katına çıkmıştır. Ayrıca araçların ivmelenme manevralarındaki hızlanma tepki seviyeleri de özellikle hava yolu kontrolündeki yenilik ve gelişmeler doğrultusunda oldukça artmıştır ve araçları çok daha çevik ve sürücülerin gaz pedalı hareketine bağlı isteklerine çok daha fazla duyarlı hale getirmiştir. Motor tork ve güç kapasitelerindeki gelişmeler doğrultusunda araçların gaz pedalı tepkileri ciddi oranda değişmiş ve iyi bir araç sürüş özellikleri kalibrasyonuna ihtiyaç doğmuştur. Tüm gelişmelerin neticesinde araç sürüş özellikleri, müşteri memnuiyeti kriterleri arasında önemli bir paya sahip olmuştur. Bu tez çalışması araç sürüş üzellikleri simulasyon programları ve model bazlı kontrol algoritmaları kullanarak iyileştirmeyi amaçlamaktadır. Aracın güç ünitesi olan motorlardan tekerlekler vasıtasıyla yola olan tork ve kuvvet iletimi son derece karmaşık bir yapıya sahiptir ve araç sürüş özellikleri düşünüldüğünde dikkatli bir şekilde ele alınmalıdır. Aracın gaz pedalı hareketine olan tepkisi gecikme içermemeli, yeteri kadar hızlı ve seri olmalı aynı zamanda vurma, sarsıntı, salınım ve yığılma gibi hata modları içermemelidir. Bununla birlikte araç aktarma organları bileşenlerindeki doğrusal olmayan sistemler düşünüldüğünde, yukarıda bahsedilen araç sürüş özellikleri beklentilerini karşılamak son derece zorlu bir hal almaktadır. Eski araçlardaki gaz pedalı ve kelebeği arasındaki bağlantı teli vasıtasıyla sağlanan mekanik araç doğrusal ekseni kontrolünden farklı olarak, günümüzün modern araçları elektromekanik sistemler ile donatılmıştır. Motor kontrol üniteleri araç dorusal ekseni hareketini regülatif ve müşteri beklentileri ile uyumlu şekilde sağlamak için onlarca sensör sinyalini algıladıkdan sonra milisaniyeler içersinde işleyerek, motor ve araç aktüatörlerinin kontrolü için uygun sinyalleri üretirler. Araç sürüş özellikleri algoritmları düşünüldüğünde otomobil üreticileri gaz pedalı deplasmanına bağlı sürücü tork isteğini yumuşatan veya filtreleyen algorithmalar kullanırlar. Bu algoritmalar genellikle harita bazlıdırlar ve ana misyonları özellikle araç aktarma organlarındaki dişli mekanizmalarındaki boşluklardan geçerken geçerken tork artış ve azalma hızlarını limitleyerek araç sürüş özelliklerini iyileştirmektir. Sistem herhangi bir kapalı döngü içermediği için, bu algoritmalar subjectif kalibrasyon yöntemleri olarak tanımlanabilirler ve sistemin doğru çalışması, bu haritaları kalibre edem kalibrasyon mühendisinin hislerine ve yeteneğine bağlıdır. Ayrıca bu haritalardaki araç hızı, pedal pozisyonu ve vitese bağlı kombinasyonlar içerirler ve tüm olası koşulları içeren bir kalibrasyon yapılması oldukça zaman almaktadır. Mevcut kalibrasyon yapısının yukarıda bahsedilen kusurları göz önüne alındığında; araç sürüş özelliklerinin iyileştirilmesi için performans ve konfor gibi birbirleriye çelişen isteklerin optimizasyonunu barındıran gelişmiş tork kontrolü, otomobil üreticileri ve akademik dünyada son derece ilgi çeken bir konu haline gelmiştir. Araç doğrusal ekseni hareket kontrolü algoritmalarının başarılı bir şekilde kullanılabilmesi için motorun anlık olarak ürettiği torkun bilinmesi oldukça önemlidir. Günümüz araçlarının yanma kontrolü incelendiğinde, mevcut yapının harita bazlı olduğu görülür ve bu yapıda üretilen torkun doğrulaması yapılmamaktadır. Bu haritalar motor test dinamometrelerinde normal hava koşulları için (25 derece sıcaklık ve deniz seviyesi irtifa) doldurulurlar. Genellikle bu haritaların eksenleri motor hızı ve istenilen indike tork şeklinde olup, haritanın içeriğini ise istenilen yanma parametresinin belirtilen motor hızı ve indike torktaki değeri oluşturur. Bu yapı araçlarda kullanılırken bazı sıkıntılar yaratabilir. Motorlarda yanmayı oluşturan yakıt yolu parametreleri kontrolü çok daha hassas bir şekilde yapılırken (istenilen yakıt özellikleri: basınç, zamanlama ve miktar), gecici rejim manevraları düşünüldüğünde hava yolu parametreleri özellikle turbo şarj içeren dizel motor motorlarda istenilen değerden sapma gösterebilir. Bu durum “turbo gecikmesi” olarak adlandırılır ve üretilen torku ciddi şekilde etkiler. Aşırı sıcak yada soğuk ve yüksek irtifa koşulları düşünüldüğünde üretilen torktaki sapmalar çok daha fazla olur. Literature incelendiğinde araç eksenel doğrultusu için geliştirilen motor tork kontrol algoritmaları bakımından istenilen anlık torkun motor tarafından verildiği düşünülür. Fakat yukarıda belirtilen nedenlerden dolayı bu durum gerçekleşemez. Bu yüzden literaturde belirtilen araç doğrulsal ekseni için geliştirilen motor tork kontrolü algoritmalarında motor tork karakteristiği ya hiç düşünülmemiştir yada bazı temel gecikme ve filtrele fonksiyonları ile modellenmiştir. Tüm bu anlatılanlar düşünüldüğünde bu tez çalışmasının temelini oluşturan motor tork modeli içeren araç doğrusal ekseni kontrol algoritması literatürdeki diğer çalışmaşlarda ayrışır. Önerilen “Silindir için basınç öngörümlü motor tork kontrol modeli algoritması” araç sürüş özellikleri kontrol yapısı ile uyumlu bir şekilde çalışarak araç tepki karakterini iyileştirir. Bu çalışma kapsamında MATLAB/Similink modelle ortamında, 4 atalet kütlesi, 2 set yay ve sönüm elemanı ve lastik karakteristiği içeren, 4 serbbestlik dereceli bir aktarma organları modeli oluşturulmuştur. Sadece araç doğrusal ekseni araç dinamiğini içeren model validasyonu, gaz basma ve gazdan çekme gibi yük değişimi manevralarını içeren araç seviyesi tesler ile yürütülmüştür. Test ölçüm sonuçları ve model çıktıları karşılaştırıldığında geliştirilen aktarma organları modelinin araç doğrusal ekseni hızlanma profili için karşılaşılan hata modlarını da içerecek şekilde yansıttığı görülmüştür. Son olarak araç aktarma organları uygulaması düşünüldüğünde, araç sürüş özelliklerini iyileştirme için sürücü talebi doğrultusunda oluşan tork isteğini araç doğrulsal ekseni hareketinde oluşabilecek salınımları engelleyen model bazlı öngörümlü tork kontrol algoritması geliştirilmiştir. Bu algoritmada 4 serbestlik dereceli model, içerdiği doğrusal olmama durumu yüzünden kullanılamamıştır. Bu yüzden basitleştirilmiş 2 ve 3 serbestlik dereceli araç aktarma organları modelleri oluşturulmuştur. Yapılan çalışmalar doğrultusunda hem 2 hem de 3 serbestlik dereceli modellerin, model bazlı öngörümlü tork kontrol algoritmasını düzgün şekilde çalıştırabilmek için yeterli doğruluk ve çözünürlükde olduğu görülmüştür. Bu çalışmanın amacı kapalı devre bir araç sürüş özellikleri algoritması ortaya çıkarmak olduğu için ve geliştirilen algoritma teknik nedenler dolayısıyla araçta denenemediği için, 4 serbestlik dereceli motor aktarma organları modeli, 2 ve 3 serbestlik dereceli motor aktarma organları modelli içeren model bazlı öngörümlü tork kontrol algoritmalarını çalıştırmak üzere kullanılmıştır. Geliştirilen 2 ve 3 serbestlik dereceli modellerin araç sürüş özellikleri önemli derecede iyileştirdiği görülmüştür. Özellkile ivmelenme profilinin düzgünlüğü ve neden olusan sistem gecikmesi düşünüldüğünde 2 serbestlik dereceli aktarma organları modeli bazlı kontrol algoritmasnın daha iyi sonuç verdiği görülmüştür. Geliştirilen tork kontrol modelli aktarma organları bazlı araç salınımları ciddi oranda azaltsada, tamamen ortadan kaldırmadığı görülmüştür. Bu doğrultuda araç ivmelenme karakteristiğinden minimum seviyede ödün vererek, oluşan salınımları daha da azaltmak ve ivmelenme profilini daha düzgün hale getirmek için temel olarak motor ve araç hızı farkını elimine etme prensibine dayanan bir doğrulsal (P) kontrolcü, model bazlı öngürümlü tork kontrol algoritmasına eklenmiştir. Literatürde bu konuda yapılan çalışmalar incelendiğinde tüm araçtırmacıların model bazlı öngürümlü algoritmayı tek başına kullandıkları görükmektedir ve bu çalışmada önerilen doğrusal kontrolcü eklenmiş model bazlı öngörümlü tork kontrol algoritması bir yenilik olarak mevcut literatür içeriğine eklenmiştir.Considering the competitive environment in automotive industry, original equipment manufacturers (OEMs) in this industry are in a challenging competition with each other to offer their customers more attractive vehicles. Cost, emissions, fuel economy, noise vibration & harshness (NVH), durability, performance and driveability properties make a product able to distinguish from its competitors’ products. Each of these attributes has a major contribution of forming a perception of the customers’ choosiness. New technologies as a result of the research and developments activities in electronics resulted with complex electro-mechanical systems in automobiles. With the addition of recent developments in materials and manufacturing processes on top of it, especially in diesel fuelled internal combustion engines (ICE), torque and power delivery had almost doubled with respect to the conventional engines developed not more than two decades ago. Additionally as a result of latest developments at air path and gas exchange systems control, torque build up rate had significantly increased enabling the vehicles to be more agile and reactive to load change request manoeuvres. As a result of all these capability improvements, vehicle response characteristics to high torque and power capacity engines changed extremely altering the necessity of proper and robust driveability calibration requirements. Driveability properties of the vehicles had gained significant importance in terms of customer satisfaction. This dissertation focuses on improving vehicle driveability properties taking advantage of simulation tools and model based control. The overall profit of this thesis is providing improved driveability via using engine torque production and vehicle models and controllers at the same time. Torque transmission from the vehicle’s power unit to the road surface via tires is a complex structure which should be handled with extreme care considering the overall driveability performance of the vehicle. An agile throttle response of the vehicle is aimed without error modes like acceleration initial kick, bump, response delay, stumble or shuffle. However considering the nonlinearities resulting from the complex structures at the drivetrain of the vehicle, this requirement becomes significantly challenging. Despite mechanical control at longitudinal motion in conventional vehicles, modern vehicles are equipped with electromechanical systems. Thanks to technological developments in the automotive industry that current capability of the vehicles enables us to develop better platforms for improving driveability characteristics. Modern engine control units (ECUs) have the capability of processing thousands of signals in a less than tens of milliseconds and as a result regulate numerous actuators which results with displacement of the vehicle complying all regulative requirements and customer expectations. Acceleration throttle pedal input signal is recorded by electronic control unit, processed and finally used to control the parameters for the combustion systems. In terms of driveability control, automotive manufacturers’ engine control algorithms employ input shaping or simple filtering algorithms. These algorithms use look-up tables and main control strategy is to slew the pedal oriented torque request for the tip-in and tip-out manoeuvres in an open loop control methodology especially in backlash transition region of the driveline. Considering the fact that there is no close loop control and these features become subjective calibration methodologies and outcome becomes strongly dependant on calibrator’s capability and performance. Moreover filling look-up tables for all gear, engine speed and pedal position combinations requires significant amount of calibration development time. Taking into consideration all of these obstacles of the current driveability features, the subject of automated torque control for improved driveability is a state of the art research topic both within automotive manufacturers and academic researchers as it can be described as an optimization problem dealing with performance and comfort counter measures. Knowledge of the instantaneous produced torque by the engine is a key item with respect to satisfying above stated attributes in vehicle longitudinal motion control. Currently common approach for combustion management is the usage of look-up table based structures with the drawback of poor conformity of the produced torque. Look-up tables define air and fuel quantity setpoints in order to produce requested indicated torque without feedback of the produced torque. These look-up tables are filled at engine dynamometer test benches at normal ambient conditions. In general fuel and air quantity setpoint maps have the axes of engine speed and indicated torque and requested amount of desired variable is filled to the corresponding point of the look-up table. In real world driving conditions fuel quantity control is robust however especially with turbocharged systems; requested air quantities may deviate from the setpoint values especially when considering transient manoeuvres. This phenomenon is called “turbo/boost lag” and significantly affects the produced torque. The situation is much worse for non-standard conditions, extreme hot and cold and altitude. In the literature most of the proposed vehicle longitudinal motion control related engine torque control algorithms base on the fact that requested torque will be generated immediately from the diesel engine. However as explained above this is not the case in real life applications. Therefore engine characteristic is either not included or covered with a simple filtering algorithm in conventional vehicle longitudinal motion related engine torque control methodologies. Engine brake torque model combined driveability control algorithm proposed in this thesis is differentiated from the previous studies in the literature within this perspective. Proposed “In cylinder pressured based engine brake torque model algorithm” works in harmony with the driveability control structure and improves overall vehicle response characteristics. Within the scope of this study a 4 degree of freedom powertrain model consisting of 4 inertias, 2 set of spring and damper elements with tyre characteristics, is built in MATLAB/Simulink environment. Model validation considering longitudinal vehicle dynamics is performed with employing vehicle level tests using a tip-in followed by a tip-out acceleration pedal signal input load change manoeuvres. Comparison of simulation results and measured vehicle test data shows that proposed model is capable of capturing vehicle acceleration profile revealing unintended error states for the specified input signals. Considering the driveability control perspective, a Model Predictive Control (MPC) algorithm employed to manipulate the pedal map oriented torque demand signal in an automotive powertrain application in order attenuate the powertrain oscillations in longitudinal vehicle motion control. 4 mass model could not be employed at with the MPC algorithm due to very high level of nonlinearity. Therefore two simplified versions of 2 and 3 mass models have been developed. It has been verified that both 2 and 3 mass vehicle models are accurate enough to employ the MPC torque control algorithm. As the aim of this study is to develop a close loop driveability algorithm for real world applications, the 4 mass vehicle model is used as replacement environment for the subjected vehicle in order to employ 2 and 3 mass vehicle model based control algorithm. MPC algorithms via using both models showed good capability, however smoothness of the driving profile with the 2 mass vehicle model is slightly better than the 3 mass model. Moreover to further improve the powertrain oscillations without compromising from overall system response speed, an additional anti-shuffle control element, basically a P controller based on the speed difference of engine and vehicle speeds, has been implemented to the MPC control algorithm. Literature review about the engine torque control for improved driveability show that all the researcher use MPC alone. Proposed MPC with additional P controller is a new contribution to the literature in the subjected area of research.DoktoraPh.D

    Control Oriented Modeling of an Automotive Drivetrain for Anti-Jerk Control

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    Drivability is an important metric during the development of an automobile. Calibration engineers spend a significant amount of time trying to improve the drivability of vehicles for various driving conditions. With an increase in the available computational power in an automobile, novel model-based methods are being implemented for further improving the drivability, while reducing calibration time and effort. Phenomenon known as clunk and shuffle, which are caused due to backlash and compliance in the driveline, are a major cause of issues related to drivability and noise, vibration and harshness (NVH) during tip-in and tip-out scenarios. This thesis focuses on developing a high-fidelity, control-oriented vehicle driveline model, which can be used for developing systems, to improve the drivability of a vehicle, during tip-in and tip-out events. A first principle physics-based model is developed, which includes the engine as a torque generator, backlash elements as discontinuities, and driveshafts as compliant elements. Experimental validation results showed that the accuracy of the developed model, in representing shuffle oscillation frequency, during the tip-in scenarios, with locked torque converter clutch, is approximately 99 %. A parametric analysis is performed to characterize the behavior of the model during different input conditions, and to study the effect of backlash size, and driveshaft compliance on the response of the driveline. Based on the observations from the parametric analysis, the high-fidelity model is later condensed into a reduced-order model, and comparative analysis is carried out between two reduced-order model (ROM) designs. The comparative results between the full-order model and ROM show that the ROM with separate tire parameters is better in predicting the frequency and amplitude of shuffle oscillations during tip-in events

    Driveline torque observer for heavy duty vehicle

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    In addition to fuel consumption and efficiency the expectations in driving comfort of heavy duty vehicles were substantially increased in the last years. The driveline has an essential role in drivability performance of the vehicle. Since it determines the driving efficiency as well, simple, but robust devices were quite widespread in production, but these can usually make driving more difficult to the driver. This means there is a hard trade-off between efficiency and driving comfort. Application of control logics can help to find the balance between simplification of hardware components and their operation. Enhancing the drivability without any inefficient additional assembly leads to higher level of safety since it makes driver´s job easier, and so it can further increase the efficiency of transportation

    Truck Differential and Rear Axle Modeling

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    Physical modeling of the driveline is crucial in many areas within the commercial vehicle industries. To have an accurate model helps the understanding of physical phenomena and is important when performing computational tests and when designing, for example, traction controllers. The differential gear is often modeled as simple as possible, neglecting more complex behaviour. The main goal with this thesis is to create a model of the differential that takes into account some of these neglected properties. To be able to test and observe the behaviour of the differential, a complete driveline is modeled, extending from the engine to the wheels. The driveline model is then validated using existing measurement data. The results from the tests performed on the model show that there are minor differences on the wheel velocities if the differential is modeled using a more physical approach. Especially the differential behaviour have been shown to accurately describe some of the important features, improving model usability. Implementation of a more complex differential model depends on the area of usage of the model. In addition to driveline modeling, a novel traction controller has been developed and implemented, using the model developed. The controller has shown interesting features such as constraints and prediction, however, further investigations are required to achieve desired performance

    EXPERIMENTAL EVALUATION OF AN RWD VEHICLE WITH PARAMETER EXTRACTION FOR ANALYTICAL MODELING AND EVALUATION

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    This study was conducted to perform experimental vibration testing on a light duty rear wheel drive vehicle. The vehicle is known to have excessive longitudinal acceleration response perceived after step changes in the driver torque command. The excessive response includes shuffle and clunk transients. Experimental testing was performed to understand the coupling between driver torque commands and peak shuffle oscillations. Data was also targeted to understand the coupling between driveline torsional oscillations and longitudinal vehicle vibrations. This data was also used to establish vehicle parameters for use in an analytical CAE model of the driveline and coupling. Driver applied tip-in and tip-out transients were captured with road testing on a rear wheel drive dynamometer test rig. Transducer signatures were captured during testing to estimate backlash size, shuffle frequency, and the influence of vehicle speed or gear. The data successfully extracted the shuffle frequency in 3rd-6th gear. Vehicle parameters extracted were used to assemble a CAE model with correlatio

    DESIGN OF AN ANTI-JERK CONTROLLER FOR BOTH LOCKED AND SLIPPING TORQUE CONVERTER CONDITIONS IN A VEHICLE

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    With the advancement in the automotive technologies, the customer scrutiny on the ride comfort of automobiles has come to light. Vehicle drivability is one of the important aspects that defines the ride comfort for a vehicle. Drivability of a vehicle is a qualitative measure and may differ from person to person, however, researches have come up to highlight a few parameters that can categorize the drivability performance of a vehicle into good or bad for a majority of the targeted audience. One of those parameters include shuffle, which is defined as the longitudinal oscillations that occurs in the drivetrain when a sudden demand for torque rise or drop is made. Another such parameter is the sluggishness in the delivery of torque at wheels against the requested torque by the driver. This can exist due to the shift in the dynamics during the drivetrain operation from locked torque converter clutch to slipping torque converter clutch. This work addresses both the drivability related issues, namely, shuffle and torque lag mentioned in the preceding para. Initially, the shuffle oscillations generated in a vehicle are analyzed when subjected to a sudden positive to positive driver torque tip-in request. Further, a pre-compensator and feedback controller based control scheme is designed to damp those shuffle oscillations while keeping the torque delivery response fast. This control approach shapes the actuator torque (i.e., an engine or an e-motor) in such a way that the desired response is achieved. Next, the problem of sluggish torque response at wheels due to slipping of the torque converter clutch is addressed. Initially, a model-based feedforward and feedback controller is developed to control the actuator torque such that when the torque converter slips, an extra compensatory torque from the actuator is applied. This compensation torque ensures that the torque response at the turbine and succeeding driveline components up till the wheels is maintained as desired. However, the actuator has some physical limitations in terms of the maximum magnitude and rate of the torque delivery. So, at some instances, the torque request generated by the controller may not be feasible for the actuator to follow. This problem is addressed when another controller, based on model predictive control approach, is proposed. This controller is based on the approach that continuously updates the controller of the torque delivery of the actuator. The controller solves an optimisation problem over the defined constraints of the actuator and plant, and further finds the most feasible response for the actuator to follow within its defined operating range. Later, A comparison between the two controllers showed model predictive controller to be 15.3% better in terms of the propeller shaft torque response than the feedforward and feedback controller, for the problem under discussion

    MODELING AND ANALYSIS FOR DRIVELINE JERK CONTROL

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    In modern-day automotive industry, automotive manufacturers pay keen attention to driver’s safety and comfort by ensuring good vehicle drivability, feel of acceleration, limiting jerk and noise. The vehicle driveline plays a critical role to meet these criteria. By using high-fidelity simulation tool such as AMESim®, it is now possible to accurately model the vehicle driveline to be tested for different scenarios. With Simulink®, one can develop an efficient torque-based control system to limit the driveline oscillations and the generated noise. So, a joint simulation is used which provides a platform to evaluate the estimators and control system while considering the fast dynamics of the non-linear system. This report presents the detailed driveline model developed to evaluate the important parameters which affect the driveline of a pickup truck. The model is developed considering the non-linear dynamics of the driveline, torque converter clutch dynamics and the non-linearities in the propeller shafts and the drive-shafts. It is then evaluated at different input conditions for two major test scenarios – tip-in and tip-out. Both scenarios show that the model displays the transmission and final drive backlash dynamics as anticipated in practical scenarios. The wheel speed shown by the results of the model proves that stiffness and damping coefficient of the tires play an important role in predicting the physical behavior of the vehicle. In addition, for the case of a tip-in from negative to positive torque, the effect of flexibilities of the driveshafts is shown as significant by this model. The oscillations caused due to these flexibilities are within 7 – 8 Hz range for evaluation at fifth gear. This frequency of oscillations found in this model is comparable to the results found in the literature. In future, experimental validation of the current full-order model would provide a better understanding of the assumptions considered while developing it. A reduced order model can be derived from the current model which can be further used to develop the estimators and controllers for active reduction of the driveline oscillations. Also, the overall effect of engine mounting system, comprehensive tire model and suspension dynamics on driveline oscillation can be studied

    Powertrain dynamics and control of a two speed dual clutch transmission for electric vehicles

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    © 2016 Elsevier Ltd The purpose of this paper is to demonstrate the application of torque based powertrain control for multi-speed power shifting capable electric vehicles. To do so simulation and experimental studies of the shift transient behaviour of dual clutch transmission equipped electric vehicle powertrains is undertaken. To that end a series of power-on and power-off shift control strategies are then developed for both up and down gear shifts, taking note of the friction load requirements to maintain positive driving load for power-on shifting. A mathematical model of an electric vehicle powertrain is developed including a DC equivalent circuit model for the electric machine and multi-body dynamic model of the powertrain system is then developed and integrated with a hydraulic clutch control system model. Integral control of the powertrain is then performed through simulations on the develop powertrain system model for each of the four shift cases. These simulation results are then replicated on a full scale powertrain test rig. To evaluate the performance of results shift duration and vehicle jerk are used as metrics to demonstrate that the presented strategies are effective for shift control in electric vehicles. Qualitative comparison of both theoretical and experimental results demonstrates reasonable agreement between simulated and experimental outcomes

    A study on automotive drivetrain transient response to ‘clutch abuse’ events

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    The optimal design of driveline components in passenger vehicles requires detailed knowledge of the effects that load case scenarios introduce into the system. In many cases the latter are difficult to obtain, since a large number of tested cases are required experimentally. Excessive torque loading often occurs during driveline ‘clutch abuse’ events, where the clutch is suddenly engaged and a transient power wave is transmitted across the driveline. This work details the development and validation of a numerical tool, which can be used to simulate such abuse scenarios. The scenario examined consists of a sudden clutch engagement in first gear in a stationary vehicle. The numerical model is validated against experimentally measured torque data, showing fairly good agreement. A set of parametric studies is also carried out using a numerical tool in order to determine the driveline parameters of interest, which affect the generated torque amplitudes

    Electro-mechanical transmission modelling for series-hybrid tracked tanks

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    This paper describes a mathematical model and presents the dynamic analysis of a series-hybrid tracked tank driven by two electric motors, one devoted to propulsion (PM) and the other to steering (SM). A double differential mechanism is adopted to electrically produce the speed difference between the tracks required for skid steering. In this paper, this specific transmission is called Electro-Mechanical Transmission (EMT). The EMT model supports the steering motor control strategy definition and the electric motor size optimisation. Dynamic simulations applied to a 55 ton main battle tank are shown and discussed to validate the obtained result
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