Technical Paper collections have been re-named for better clarity and alignment.x

Your Selections

Hybrid electric vehicles
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Committees

Events

Magazine

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Thermal Modeling of DC/AC Inverter for Electrified Powertrain Systems

FCA US LLC-Meng Li, Bruce Geist
Gotion Inc-Fan He
  • Technical Paper
  • 2020-01-1384
To be published on 2020-04-14 by SAE International in United States
A DC-to-AC main Power Inverter Module (PIM) is one of the key components in electrified powertrain systems. Accurate thermal modeling and temperature prediction of a PIM is critical to the design, analysis, and control of a cooling system within an electrified vehicle. PIM heat generation is a function of the electric loading applied to the chips and the limited heat dissipation within what is typically compact packaging of the Insulated Gate Bipolar Transistor (IGBT) module inside the PIM. This work presents a thermal modeling approach for a 3-phase DC/AC PIM that is part of an automotive electrified powertrain system. Heat generation of the IGBT/diode pairs under electric load is modeled by a set of formulae capturing both the static and dynamic losses of the chips in the IGBT module. A thermal model of the IGBT module with a simplified liquid cooling system generates temperature estimates for the PIM. Temperatures of chips, baseplates, and sinks are predicted from electric input loads. A case study is provided in wh ich the PIM thermal model is coupled with…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Integrated Regenerative Braking System and Anti-lock Braking System for Hybrid Electric Vehicles & Battery Electric Vehicles

Ford Motor Company-Yixin Yao, Mark Yamazaki, Yanan Zhao
  • Technical Paper
  • 2020-01-0846
To be published on 2020-04-14 by SAE International in United States
Regenerative braking in hybrid electric vehicles is a critical feature to achieve the maximum fuel economy benefit of hybridization. In order to maximize energy recuperation, it is desired to enable regenerative braking during an Anti-lock Braking System (ABS) event. For certain driveline configurations with a single electric motor connected to the axle shaft through an open differential, it has been observed that the regenerative braking torque can increase the wheel slip during the ABS operation, and significantly impact vehicle dynamics. This negative effect introduced by regen braking during ABS control may also lead to hardware failures, such as breaking a drive shaft. This paper describes development of an integrated regenerative braking and ABS control for hybrid and electric drive vehicles, referred to as RBS-ABS Event Control. This control is intended for drivelines containing a single electric motor connected to the axle shaft through an open differential. The design objectives are to recuperate the maximum amount of kinetic energy during an ABS event, and to provide no degraded anti-lock control behavior as seen in vehicles with…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Simplified Approach to Model a HEV/PHEV/Battery Vehicle Cooling System in 1D and validating using DFSS methodology

Detroit Engineered Products (DEP) Inc-Toukir Islam
FCA Engineering India Pvt Ltd-AMIT KUMAR, VAIBHAV PATIL, Dhananjay Autade, Kamalakannan J
  • Technical Paper
  • 2020-01-1386
To be published on 2020-04-14 by SAE International in United States
ABSTRACT Improving fuel economy and to satisfy more restrictive emission legislation the Vehicle electrification becomes more important one. Compared to the combustion engine a Hybrid electric vehicles / Plug-in hybrid electric vehicles will use energy from the grid to recharge their high voltage battery and this is converted with much higher efficiency, and less CO2 emission so they will have a significant role in the present transition from conventional to electric vehicles. The addition of new components, such as power electronics, electric machine and high voltage battery, increases the maximum torque available and the energy stored on-board, but increases the weight as well. In addition, although they have really high efficiency, they produce a significant amount of heat that has to be removed. Another thermal management issue in PHEV and BEV is cabin heating, since the engine heat is not available. To guarantee system efficiency and reliability, a completely new thermal management layout has to be designed. The time and cost spent on a real time model of new cooling system will be more which…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Fuel consumption on different drive cycles: A unified approach based on average power/weight

Ford Motor Company-Patrick Phlips, William Ruona, Thomas Megli, Mrudula Orpe
  • Technical Paper
  • 2020-01-1278
To be published on 2020-04-14 by SAE International in United States
In previous work we have shown that fuel consumption on a particular drive cycle is proportional to traction work, with an offset for powertrain losses. The finding applies to different drive cycles, but with different offsets. Following Soltic (2011), it is shown that if fuel usage and traction work are both expressed in terms of cycle average power, a wide range of drive cycles collapse to a single transfer function. Data for vehicles of different weights further collapses when normalized for weight, i.e. by working in power/weight (P/W). The fuel P/W is primarily a function of traction P/W, and secondarily of displacement/weight. The useful work or power definition is then expanded beyond the traction power to include electrical power for customer functions, and power to drive the air conditioning. With this expanded definition the linear powertrain transfer function can be applied not only to strictly defined regulatory drive cycles and procedures, but also to ‘real driving’ conditions that cover a much broader range of situations. When applied to hybrid electric vehicles, the method clearly shows…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Modeling, Validation and Control Strategy Development of a Hybrid Super Sport Car based on Lithium Ion Capacitors

Automobili Lamborghini Spa-Riccardo Parenti, Maurizio Reggiani
University of Bologna-Alessandro Franceschi, Nicolo Cavina
  • Technical Paper
  • 2020-01-0442
To be published on 2020-04-14 by SAE International in United States
Today, the contribution of the transportation sector on greenhouse gases is evident. The fast consumption of fossil fuels and its impact on the environment have given a strong impetus to the development of vehicles with better fuel economy. Hybrid electric vehicles fit into this context with different targets, starting from the reduction of emissions and fuel consumption, but also for performance and comfort enhancement. Lamborghini has recently invested in the development of a hybrid super sport car, due to performance and comfort reasons. Aventador series gearbox is an Independent Shift Rod gearbox with a single clutch and during gear shifts, as all the single clutch gearbox do, it generates a torque gap. To avoid the additional weight of a Dual Clutch Transmission, a 48V Electric Motor has been connected to the wheels, in a P3 configuration, to fill the torque gap, and to habilitate regenerative braking and electric boost functions. This paper discusses the usage of a control-oriented vehicle and powertrain model to analyze the performance of the first Lithium Ion Capacitor-based hybrid V12 by…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

The Design of Safe-Reliable-Optimal Performance for Automated Driving Systems on Multiple Lanes with Merging Features

Honda-Kaijiang Yu
  • Technical Paper
  • 2020-01-0122
To be published on 2020-04-14 by SAE International in United States
Safety function for automated driving systems including advanced driver assistance systems and autonomous vehicle systems is very important. Inside safety function, predictive judge sub-function should be designed with the consideration of more and more penetration of automated driving vehicles. This paper presents the design on multiple lanes with merging features based on the author's previous Patent JP2019-147944. In the author's previous work (Model Predictive Control for Hybrid Electric Vehicle Platooning Using Slope Information-Published on IEEE transactions on Intelligent Transportation Systems), a model predictive control framework was designed. Due to the difficulty to detail the sub-safety function deeply with merging features, few works are found to deal with sensor platforms focusing on rear side, and situations of merging lane side with the consideration of relative relation variations with other vehicles and road border markers. However, performance enhancement is needed assuring 100% safety-reliability-optimality and single-objectivity. Also, the detailed platform of on-board sensors including side and rear view is needed to deal with false negative operations and false positive operations. The optimal operation line model of human factors…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A Fundamental study on the effects of Electrically Heated Catalyst on State of Charge of the battery pack for a series hybrid electric vehicle at cold start.

NE Chemcat Corp-Makoto Nagata
Waseda Univ-Suchitra Sivakumar, Hajime Shingyouchi, Xieyang Yan, Toshinori Okajima, Kyohei Yamaguchi, Jin Kusaka
  • Technical Paper
  • 2020-01-0444
To be published on 2020-04-14 by SAE International in United States
Battery models are recently being developed as one of a component of the powertrain system of Hybrid Electric Vehicle (HEV) to predict the State of Charge (SOC) accurately. The electric components like the Electrically Heated Catalyst (EHC) which is used to reach the catalyst light off temperature in advance are being employed in the powertrain of HEVs. The EHC draws power from the battery pack of the HEV. Therefore, sufficient energy should be stored in the battery pack of an HEV to power the auxiliary components in the powertrain. In a series hybrid electric vehicle system, the engine is primarily used to charge the battery pack. Therefore, it is important to develop a control strategy that triggers the engine start/stop conditions and reduces the frequency of engine operation to minimize the equivalent fuel consumption. A battery pack model was constructed in MATLAB-Simulink to investigate the SOC variation of a high-power lithium ion battery during extreme engine cold start conditions (-7°C) with and without the application of EHC. An electrically heated catalyst (EHC) was also simulated…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Scalable Simulation Environment for Adaptive Cruise Controller Development

The University Of Alabama-David Barnes, Jared Folden, Hwan-Sik Yoon, Paulius Puzinauskas
  • Technical Paper
  • 2020-01-1359
To be published on 2020-04-14 by SAE International in United States
In the development of an Adaptive Cruise Control (ACC) system, a model-based design process uses a simulation environment with models for sensor data, sensor fusion, ACC, and vehicle dynamics. Previous work has sought to control the dynamics between two vehicles both in simulation and in empirical testing environments. This paper outlines a new modular simulation framework for full model-based design integration, to iteratively design ACC systems. The simulation framework uses physics-based vehicle models to test ACC systems in three ways. The first two are Model-in-the-Loop (MIL) testing, using scripted scenarios or Driver-in-the-Loop (DIL) control of a target vehicle. The third testing method uses collected test data replayed as inputs to the simulation to additionally test sensor fusion algorithms. The simulation framework uses 3D visualization of the vehicles and implements mathematical driver comfortability models to better understand the perspectives of the driver or passenger. The addition of a high-fidelity vehicle plant model provides energy consumption and emissions predictions for autonomous, conventional vehicles or hybrid electric vehicles (HEV) in realistic driving scenarios. Finally, the simulations are run…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Active and Passive Control of Torsional Vibration in Vehicle Hybrid Powertrain System

Tongji Univ-Lijun Zhang, Dejian Meng, Jie Xu
Tongji Univ.-Shijuan Zhang
  • Technical Paper
  • 2020-01-0408
To be published on 2020-04-14 by SAE International in United States
The vibration characteristics of hybrid vehicles are very different from that of traditional fuel vehicles. In this paper, the active and passive control schemes are used to inhibit the vibration issues in vehicle hybrid powertrain system. Firstly the torsional vibration mechanical model including engine, motor and planetary gear subsystems is established. Then the transient vibration responses of typical working condition are analyzed through power control strategy. Consequently the active and passive control of torsional vibration in hybrid powertrain system are proposed. The active control of the motor and generator torque are designed and the vehicle longitudinal vibration is reduced. The vibration of the planetary gear system is ameliorated with passive control method by adding torsional vibration absorbers to power units. The vibration characteristics in vehicle hybrid powertrain system are effectively improved through the active and passive control.
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

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 Krishna 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…