The potential of thermoelectric generator in parallel hybrid vehicle applications

This paper reports on an investigation into the potential for a thermoelectric generator (TEG) to improve the fuel economy of a mild hybrid vehicle. A simulation model of a parallel hybrid vehicle equipped with a TEG in the exhaust system is presented. This model is made up by three sub-models: a parallel hybrid vehicle model, an exhaust model and a TEG model. The model is based on a quasi-static approach, which runs a fast and simple estimation of the fuel consumption and CO2 emissions. The model is validated against both experimental and published data. Using this model, the annual fuel saving, CO2 reduction and net present value (NPV) of the TEG’s life time fuel saving are all investigated. The model is also used as a flexible tool for analysis of the sensitivity of vehicle fuel consumption to the TEG design parameters. The analysis results give an effective basis for optimization of the TEG design

Unified backwards facing and forwards facing simulation of a hybrid electric vehicle using MATLAB Simscape

This paper presents the implementation of a vehicle and powertrain model of the parallel hybrid electric vehicle which can be used for several purposes: as a model for estimating fuel consumption, as a model for estimating performance, and as a control model for the hybrid powertrain optimisation. The model is specified as a multi-domain physical model in MATLAB Simscape, which captures the key electrical, mechanical and thermal energy flows in the vehicles. By applying hand crafted boundary conditions, this model can be simulated either in the forwards or backwards direction, and it can easily be simplified as required to address specific control problems. Modelling in the forwards direction, the driver inputs are specified, and the vehicle response is the model output. In the backwards direction, the vehicle velocity as a function of time is the specified input, and the engine torque, and fuel consumption are the model outputs. The model represents a parallel hybrid vehicle, which is being developed in the TC48 project. The project goal is to produce a prototype of a plug-in parallel hybrid system which is integrated into existing front wheel drive powertrains with modest additional engineering, cost, volume, and mass requirements. This paper explains the motivation for the project, and presents examples of the simulations which were used to guide the design. The vehicle simulation models used to evaluate the layout options are described and discussed. Sensitivity analyses are presented which informed the design decisions. A novel use of the Simscape component of MATLAB/Simulink which allows the same model structure to be used for both forwards and backwards simulations is demonstrated. This method has the possibility for more general application, and a toolbox is being developed which assists the generation of mathematical models of this type

Integrated Circuit Design for Hybrid Optoelectronic Interconnects

This dissertation focuses on high-speed circuit design for the integration of hybrid optoelectronic interconnects. It bridges the gap between electronic circuit design and optical device design by seamlessly incorporating the compact Verilog-A model for optical components into the SPICE-like simulation environment, such as the Cadence design tool. Optical components fabricated in the IME 130nm SOI CMOS process are characterized. Corresponding compact Verilog-A models for Mach-Zehnder modulator (MZM) device are developed. With this approach, electro-optical co-design and hybrid simulation are made possible. The developed optical models are used for analyzing the system-level specifications of an MZM based optoelectronic transceiver link. Link power budgets for NRZ, PAM-4 and PAM-8 signaling modulations are simulated at system-level. The optimal transmitter extinction ratio (ER) is derived based on the required receiver\u27s minimum optical modulation amplitude (OMA). A limiting receiver is fabricated in the IBM 130 nm CMOS process. By side- by-side wire-bonding to a commercial high-speed InGaAs/InP PIN photodiode, we demonstrate that the hybrid optoelectronic limiting receiver can achieve the bit error rate (BER) of 10-12 with a -6.7 dBm sensitivity at 4 Gb/s. A full-rate, 4-channel 29-1 length parallel PRBS is fabricated in the IBM 130 nm SiGe BiCMOS process. Together with a 10 GHz phase locked loop (PLL) designed from system architecture to transistor level design, the PRBS is demonstrated operating at more than 10 Gb/s. Lessons learned from high-speed PCB design, dealing with signal integrity issue regarding to the PCB transmission line are summarized

Modeling for simulation of hybrid drivetrain components

Designing a hybrid drivetrain is a complex task, due to the unknown sensitivity of vehicle performance to system components specifications, the interaction between systems components, and the ability to operate the system components at different set points at any time. Therefore, many researchers have made efforts formulating, and developing holistic hybrid drivetrain analysis, design, and optimization models including the top-level vehicle system control. However, an integral design approach is usually characterized by large computation times, complex design problem formulations, multiple subsystem simulations, analyses, and non-smooth, or non-continuous models. In this paper, the influence of the component efficiencies, whereby the engine operation strategy (engine-, or system optimal operation) on the fuel economy, and the energy management strategy (EMS) is investigated. Thereby, a relative simple rule-based (RB) EMS is used, and is compared with the strategy based on dynamic programming (DP). The series-parallel transmission of the Toyota Prius has been used as a case study. The component modeling, and simulation results from the RB EMS, and DP are compared with results from the simulation platform ADVISOR. Finally, it is shown, that modeling the component efficiencies by only a few characteristic parameters, and using the RB EMS, the fuel consumption can be calculated very quickly, and with sufficient accuracy. In future work, the influence of topology choice on the fuel economy, and the EMS will also be investigate

MODELING and ANALYSIS of HYBRID SHOCK ABSORBER for MILITARY VEHICLE SUSPENSION

This paper deals with the design, modeling and analysis of a hybrid shock absorber for vehicle suspension. A specific design of frictional-electromagnetic-regenerative shock absorber is proposed. The hybrid shock absorber consists of the proposed frictional -electromagnetic-regenerative shock absorber assembled in parallel with a conventional-viscous shock absorber. The concept of hybrid shock absorber is proposed due to the following advantages: the regenerative shock absorber will recover some wasted vibration energy from the suspension into electrical energy to support the need for electrical energy of the vehicle, while the viscous shock absorber maintains the performance of suspension closed to its original suspension. The vehicle suspension system dynamic was mathematically modeled for three different types of suspension:1).Conventional suspension using viscous shock absorber; 2).Hybrid suspension using combination of 50% frictional-electromagnetic-regenerative shock absorberand50% viscous shock absorber; and 3).Full regenerative suspension using 100% frictional-electromagnetic-regenerative shock absorber. In this research, 6 wheels military vehicle (APC:Armour Personal Carrier) is chosen as the model due to the high possibility of applying regenerative suspension to the military/off road vehicle. Based on the mathematical models, performances of the vehicle suspension and the regenerated power from regenerative shock absorber (RSA) were simulated. The results were compared between the three types of suspension and discusse

Thermal And Cooling Systems Modeling Of Powertrain For A Plug -In Parallel-Through-The-Road Hybrid Electric Vehicle

Thermal modeling and control play an ever increasing role with hybrid electric vehicle (HEV) design and development for improving overall vehicle energy efficiency, and to account for additional thermal loading from electric powertrain components such as electric motor, motor controller and battery pack. This thesis presents a complete development process for an efficient modeling approach with integrated control strategy for the thermal management of plug-in HEV in a parallel-through-the road (PTTR) architecture, adopted by Wayne State University Hybrid Warriors for their Department of Energy\u27s EcoCAR2 Plugging in to the Future Competition. The frameworks of this project include simulating the thermal behavior of major HEV powertrain components using system oriented models suitable for real-time vehicle operation. A comprehensive control algorithm is established in a Thermal Manager, as part of vehicle supervisory controller. Finally, the proposed model is tested through realistic driving conditions to demonstrate reliability

Software tools for the rapid development of signal processing and communications systems on configurable platforms

Programmers and engineers in the domains of high performance computing (HPC) and electronic system design have a shared goal: to define a structure for coordination and communication between nodes in a highly parallel network of processing tasks. Practitioners in both of these fields have recently encountered additional constraints that motivate the use of multiple types of processing device in a hybrid or heterogeneous platform, but constructing a working "program" to be executed on such an architecture is very time-consuming with current domain-specific design methodologies. In the field of HPC, research has proposed solutions involving the use of alternative computational devices such as FPGAs (field-programmable gate arrays), since these devices can exhibit much greater performance per unit of power consumption. The appeal of integrating these devices into traditional microprocessor-based systems is mitigated, however, by the greater difficulty in constructing a system for the resulting hybrid platform. In the field of electronic system design, a similar problem of integration exists. Many of the highly parallel FPGA-based systems that Xilinx and its customers produce for applications such as telecommunications and video processing require the additional use of one or more microprocessors, but coordinating the interactions between existing FPGA cores and software running on the microprocessors is difficult. The aim of my project is to improve the design flow for hybrid systems by proposing, firstly, an abstract representation of these systems and their components which captures in metadata their different models of computation and communication; secondly, novel design checking, exploration and optimisation techniques based around this metadata; and finally, a novel design methodology in which component and system metadata is used to generate software simulation models. The effectiveness of this approach will be evaluated through the implementation of two physical-layer telecommunications system models that meet the requirements of the 3GPP "LTE" standard, which is commercially relevant to Xilinx and many other organisations

Distributed Hybrid Simulation of the Internet of Things and Smart Territories

This paper deals with the use of hybrid simulation to build and compose heterogeneous simulation scenarios that can be proficiently exploited to model and represent the Internet of Things (IoT). Hybrid simulation is a methodology that combines multiple modalities of modeling/simulation. Complex scenarios are decomposed into simpler ones, each one being simulated through a specific simulation strategy. All these simulation building blocks are then synchronized and coordinated. This simulation methodology is an ideal one to represent IoT setups, which are usually very demanding, due to the heterogeneity of possible scenarios arising from the massive deployment of an enormous amount of sensors and devices. We present a use case concerned with the distributed simulation of smart territories, a novel view of decentralized geographical spaces that, thanks to the use of IoT, builds ICT services to manage resources in a way that is sustainable and not harmful to the environment. Three different simulation models are combined together, namely, an adaptive agent-based parallel and distributed simulator, an OMNeT++ based discrete event simulator and a script-language simulator based on MATLAB. Results from a performance analysis confirm the viability of using hybrid simulation to model complex IoT scenarios.Comment: arXiv admin note: substantial text overlap with arXiv:1605.0487

Comparison of Cycle Reduction and Model Reduction Strategies for the Design Optimization of Hybrid Powertrains on Driving Cycles

International audienceDecision-making is a crucial and difficult step in the design process of complex systems such as the hybrid powertrain. Finding an optimal solution requires the system feedback. This can be, depending on the granularity of the models at the component level, highly time-consuming. This is even more true when the system’s performance is determined by its control. In fact, various possibilities can be selected to deliver the required torque to the wheels during a driving cycle. In this work, two different design strategies are proposed to minimize the fuel consumption and the cost of the hybrid powertrain. Both strategies adopt the iterative framework which allows for the separation of the powertrain design problem and its control while leading to system optimality. The first approach is based on model reduction, while the second approach relies on improved cycle reduction techniques. They are then applied to a parallel hybrid vehicle case study, leading to important cost reduction in reasonable delays and are compared using different metrics