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A Connected Controls and Optimization System for Vehicle Dynamics and Powertrain Operation on a Light-Duty Plug-in Multi-Mode Hybrid Electric Vehicle

Michigan Technological University-Joseph Oncken, Joshua Orlando, Pradeep K. Bhat, Brandon Narodzonek, Christopher Morgan, Darrell Robinette, Bo Chen, Jeffrey Naber
  • Technical Paper
  • 2020-01-0591
To be published on 2020-04-14 by SAE International in United States
This paper presents an overview of the connected controls and optimization system for vehicle dynamics and powertrain operation on a light-duty plug-in multi-mode hybrid electric vehicle developed as part of the DOE ARPA-E NEXTCAR program by Michigan Technological University in partnership with General Motors Co. The objective is to enable a 20% reduction in overall energy consumption and a 6% increase in electric vehicle range of a plug-in hybrid electric vehicle through the utilization of connected and automated vehicle technologies. Technologies developed to achieve this goal were developed in two categories, the vehicle control level and the powertrain control level. Tools at the vehicle control level include Eco Routing, Coordinated Adaptive Cruise Control (CACC), Eco Approach and Departure (EcoAND) and in-situ vehicle parameter characterization. Tools at the powertrain level include PHEV mode blending, predictive drive-unit state control, and non-linear model predictive control powertrain torque split management. These tools were developed with the capability of being implemented in a real-time vehicle control system. As a result, many of the developed technologies have been demonstrated in real-time…
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Bench-marking Computational Performance of Dynamic Programming For Speed Profiling and Fuel Efficiency of Autonomous-capable HEV

Ohio State University-Wilson Perez, Amit Ruhela, Punit Tulpule
  • Technical Paper
  • 2020-01-0968
To be published on 2020-04-14 by SAE International in United States
Dynamic programming has been used for optimal control of hybrid powertrain and vehicle speed optimization particularly in design phase for over a couple of decades. With the advent of autonomous and connected vehicle technologies, automotive industry is getting closer to implementing predictive optimal control strategies in real time applications. The biggest challenge in implementation of optimal controls is the limitation on hardware which includes processor speed, IO speed, and random access memory. Due to the use of autonomous features, modern vehicles are equipped with better onboard computational resources. In this paper we present a comparison between multiple hardware options for dynamic programming. The optimal control problem considered, is the optimization of travel time and fuel economy by tuning the torque split ratio and vehicle speed while maintaining charge sustaining operation. The system has two states - battery state of charge and vehicle speed, and two inputs namely, total torque and torque split ratio. First, we develop a Matlab® based program to solve the optimal control problem. The Matlab® code is optimized for performance and memory…
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A New Approach of Generating Travel Demands for Smart Transportation Systems Modeling

Ford Motor Company-Zhen Jiang, Chen Liang, Cassandra Telenko, Bo Wang, Yan Fu
Purdue University-Ruoxi Wen, Hua Cai
  • Technical Paper
  • 2020-01-1047
To be published on 2020-04-14 by SAE International in United States
The transportation sector is facing three revolutions: shared mobility, electrification, and autonomous driving. To inform decision making and guide smart transportation system development at the city-level, it is critical to model and evaluate how travelers will behave in these systems. Two key components in such models are (1) individual travel demands with high spatial and temporal resolutions, and (2) travelers’ sociodemographic information and trip purposes. These components impact one’s acceptance of autonomous vehicles, adoption of electric vehicles, and participation in shared mobility. Existing methods of travel demand generation either lack travelers’ demographic information and trip purposes, or only generate trips at a zonal level. Higher resolution demand and sociodemographic data can enable analysis of trips’ shareability for car sharing and ride pooling and evaluation of electric vehicles’ charging needs. To address this data gap, we propose a new approach of travel demand generation based on households. Census data provide the demographic information for each household (e.g., the number of adults and kids, income and education level, vehicle ownership etc.). The travel demands of each individual…
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A Method of the Improvement of Wireless Power Transfer (WPT) System Efficiency, Compatibility, EMI Reduction, and Foreign Object Detection (FOD) for EV Applications

Hyundai Motor Co.-JaeEun Cha, Woo Young Lee, Gyu-Yeong Choe, Young Jin Kim, Jung Hong Joo, Jin Hwan Jung
  • Technical Paper
  • 2020-01-0530
To be published on 2020-04-14 by SAE International in United States
During the charging Electric Vehicle(EV), power transfer occurs in the power electronics of a EV powertrain. Understanding how the Wireless Power Transfer(WPT) occurs would be beneficial for achieving convenient charging method. This dissertation focuses on improving WPT system efficiency, compatibility, EMI reduction, and Foreign Object Detection(FOD). The choice of convertible WPT pad for circular and DD type coils, improvement of pad compatibility is analyzed in this thesis. In addition, several control methods of increasing WPT system efficiency are proposed. Firstly, the effect of Full Bridge – Half Bridge(FB-HB) is introduced, and the influence of a Bridgeless control scheme is discussed. A new, ferrite pad structure is applied to WPT system in order to achieve EMI reduction. Lastly, a new strategy of Foreign Object Detection(FOD) is suggested for WPT system using phase difference and frequency variation detection.
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Optimal Management of Charge and Discharge of Electric Vehicles Based on CAN Bus Communication

Suizhou-WUT Industry Research Institute-Gangfeng Tan
Wuhan University of Technology-Haoyu Wang, Donghua Guo, Zhenyu Wang, Hanyu Zhang, Zhicheng Hu
  • Technical Paper
  • 2020-01-1297
To be published on 2020-04-14 by SAE International in United States
With the shortage of energy and the continuous development of automotive technology, electric vehicles are gradually gaining popularity. However, during the running of the electric vehicle, there is a risk of exhaustion of the electric power, and the position of the charging pile is fixed, which is likely to cause anxiety and worry of the owner. At present, there is a lack of an effective energy consumption prediction system, which is convenient for the driver to make reasonable driving planning guidance. As a standard serial communication protocol of ISO, CAN bus has a simple structure, short development cycle, stability and reliability. In this paper, the CAN bus is used to extract the dynamic parameter information of the speed, engine speed and throttle opening of the traveling vehicle in real time. At the same time, based on the GPS and cloud database, the road condition information of the expected driving section is comprehensively considered, and the real-time energy consumption prediction model of the electric vehicle is established. The predicted value is compared with the remaining electricity,…
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“Smart” Frequency-Sensing Charge Controller for Electric Vehicles

  • Magazine Article
  • TBMG-35963
Published 2020-02-01 by Tech Briefs Media Group in United States

As plug-in hybrid electric vehicles and battery electric vehicles become more popular, they create additional demand for electricity. Their emergence also raises issues regarding how, where, and when car batteries should be charged and the resulting load on the power grid.

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RAD-HARD Microelectronics for Space Applications

Aerospace & Defense Technology: February 2020

  • Magazine Article
  • 20AERP02_01
Published 2020-02-01 by SAE International in United States

For orbiting satellites, design requirements are extensive as a result of the extreme environment in space, including wide-ranging and rapidly changing temperatures, satellite body charging effects and high-energy particle bombardment and radiation. These dynamics drive the need for high-reliability engineering concepts for all system components. In the case of microelectronics, this takes a unique form and drives innovation for techniques to overcome these damaging effects.

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Electric Vehicle Power Transfer System Using Conductive Automated Connection Devices Enclosed Pin and Socket Connection

Hybrid - EV Committee
  • Ground Vehicle Standard
  • J3105/3_202001
  • Current
Published 2020-01-20 by SAE International in United States
This document details one of the connections of the SAE J3105 document. The connections are referenced in the scope of the main document SAE J3105. SAE J3105/3 details the enclosed pin and sleeve connection. All the common requirements are defined in the main document; the current document provides the details of the connection. This document covers the main safety and interoperability relevant requirements for an electric vehicle power transfer system using a conductive automated charging device based on an enclosed pin and socket design. To allow interoperability for on-road vehicles (in particular, buses and coaches), one configuration is described in this document. Other configurations may be used for non-standard applications (for example, mining trucks or port vehicles).
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Electric Vehicle Power Transfer System Using Conductive Automated Connection Devices Infrastructure-Mounted Pantograph (Cross-Rail) Connection

Hybrid - EV Committee
  • Ground Vehicle Standard
  • J3105/1_202001
  • Current
Published 2020-01-20 by SAE International in United States
This document details one of the connections of the SAE J3105 document. The connections are referenced in the scope of the main document SAE J3105. SAE J3105/1 details the infrastructure-mounted pantograph, or cross-rail connection. All the common requirements are defined in the main document; the current document provides the details of the connection. This document covers the connection interface relevant requirements for an electric vehicle power transfer system using a conductive ACD based on a cross-rail design. To allow interoperability for on-road vehicles (in particular, buses and coaches), one configuration is described in this document. Other configurations may be used for non-standard applications (for example, mining trucks or port vehicles).
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Electric Vehicle Power Transfer System Using Conductive Automated Connection Devices

Hybrid - EV Committee
  • Ground Vehicle Standard
  • J3105_202001
  • Current
Published 2020-01-20 by SAE International in United States
This document covers the general physical, electrical, functional, testing, and performance requirements for conductive power transfer, primarily for vehicles using a conductive ACD connection capable of transferring DC power. It defines conductive power transfer methods, including the infrastructure electrical contact interface, the vehicle connection interface, the electrical characteristics of the DC supply, and the communication system. It also covers the functional and dimensional requirements for the vehicle connection interface and supply equipment interface. There are also sub-documents which are identified by a SAE J3105/1, SAE J3105/2, and SAE J3105/3. These will be specific requirements for a specific interface defined in the sub-document. SAE J3105: Main document, including most requirements. ○ SAE J3105/1: Infrastructure-Mounted Cross Rail Connection ○ SAE J3105/2: Vehicle-Mounted Pantograph Connection ○ SAE J3105/3: Enclosed Pin and Socket Connection
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