scholarly journals Integrating Driving Hardware-in-the-Loop Simulator with Large-Scale VANET Simulator for Evaluation of Cooperative Eco-Driving System

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1645
Author(s):  
Geonil Lee ◽  
Seongmin Ha ◽  
Jae-il Jung
Keyword(s):  
Hybrid Electric Vehicle ◽  
Large Scale ◽  
Ad Hoc ◽  
Electronic Control Unit ◽  
Fuel Efficiency ◽  
Control Unit ◽  
Network Simulator ◽  
Hardware In The Loop ◽  
Driving System ◽  
Testing And Evaluation

Recent advances in information and communication technology (ICT) have enabled interaction and cooperation between components of the transportation system, and cooperative eco-driving systems that apply ICT to eco-driving systems are receiving significant attention. A cooperative eco-driving system is a complex system that requires consideration of the electronic control unit (ECU) and vehicle-to-everything (V2X) communication. To evaluate these complex systems, it is needed to integrate simulators with expertise. Therefore, this study presents an integrated driving hardware-in-the-loop (IDHIL) simulator for the testing and evaluation of cooperative eco-driving systems. The IDHIL simulator is implemented by integrating the driving hardware-in-the-loop simulator and a vehicular ad hoc network simulator to develop and evaluate a hybrid control unit and cooperative eco-driving application for the connected hybrid electric vehicle (CHEV). A cooperative eco-driving speed guidance application is utilized to demonstrate the use of our simulator. The results of the evaluation show the improved fuel efficiency of the CHEV through a calculation of the optimal speed profile and the optimal distribution of power based on V2X communication. Finally, this paper concludes with a description of future directions for the testing and evaluation of cooperative eco-driving systems.

A Fuzzy Based Propulsion Selection for Fuel Efficiency in Hybrid Electric Vehicle

2018 ◽  
Author(s):  
Debraj Bhattacharjee ◽  
Prabha Bhola ◽  
Pranab K. Dan
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Fossil Fuel ◽  
Combustion Engine ◽  
Electronic Control Unit ◽  
Fuel Efficiency ◽  
Control Unit ◽  
Control Logic ◽  
Hybrid Electric ◽  
On The Road

This article proposes a fuzzy based fuel-efficient propulsion selection logic for a hybrid electric vehicle (HEV) in ‘Highway Fuel Economy Test (HWFET)’ driving cycle. Optimal utilisation of combustion engine, in HEV, reduces the fossil fuel consumption. This can be realized through an electronic control unit, embedded with effective propulsion selection logic that governs the power split device in series-parallel HEV. A propulsion control logic, based on the road gradeability, velocity, torque demand and vehicle battery state of charge (SOC) is presented in this article. A comparison with conventional propulsion selection logic based system shows that the HEV modelled with proposed fuzzy based one, results in better speed tracking with steep road grades, as it provides better torque supply at desired speed points. The analysis indicates a reduction in consumption of both the fossil fuel as well as the electrical fuel (SOC).

scholarly journals Continuous Automotive Software Updates through Container Image Layers

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 739
Author(s):  
Nicholas Ayres ◽  
Lipika Deka ◽  
Daniel Paluszczyszyn
Keyword(s):  
Embedded System ◽  
Ad Hoc ◽  
New Technologies ◽  
Electronic Control Unit ◽  
Control Unit ◽  
New Approach ◽  
Automotive Software ◽  
Software Updating ◽  
Software Updates ◽  
Functional Software

The vehicle-embedded system also known as the electronic control unit (ECU) has transformed the humble motorcar, making it more efficient, environmentally friendly, and safer, but has led to a system which is highly dependent on software. As new technologies and features are included with each new vehicle model, the increased reliance on software will no doubt continue. It is an undeniable fact that all software contains bugs, errors, and potential vulnerabilities, which when discovered must be addressed in a timely manner, primarily through patching and updates, to preserve vehicle and occupant safety and integrity. However, current automotive software updating practices are ad hoc at best and often follow the same inefficient fix mechanisms associated with a physical component failure of return or recall. Increasing vehicle connectivity heralds the potential for over the air (OtA) software updates, but rigid ECU hardware design does not often facilitate or enable OtA updating. To address the associated issues regarding automotive ECU-based software updates, a new approach in how automotive software is deployed to the ECU is required. This paper presents how lightweight virtualisation technologies known as containers can promote efficient automotive ECU software updates. ECU functional software can be deployed to a container built from an associated image. Container images promote efficiency in download size and times through layer sharing, similar to ECU difference or delta flashing. Through containers, connectivity and OtA future software updates can be completed without inconveniences to the consumer or incurring expense to the manufacturer.

A New Hardware-in-the-Loop Test System for Electronic Control Unit of Dual-Clutch Transmission Vehicle

2012 ◽  
Vol 490-495 ◽  
pp. 13-18 ◽  
Author(s):  
Ran Chen ◽  
Lin Mi ◽  
Wei Tan
Keyword(s):  
Numerical Simulation ◽  
Electronic Control Unit ◽  
Control Unit ◽  
Test System ◽  
Testing System ◽  
Primary Concern ◽  
Hardware In The Loop ◽  
Electronic Control ◽  
Simulation Environment ◽  
Dual Clutch Transmission

Hardware-in-the-loop simulation (HILS) is a scheme that incorporates some hardware components of primary concern in the numerical simulation environment. This paper discusses the implementation and benefits of using the HIL testing system for electronic control unit of dual-clutch transmission (DCT) vehicle.

Automatic Requirement Classification: Tackling Inconsistencies Between Requirements and Regulations

2014 ◽  
Vol 08 (01) ◽  
pp. 47-65 ◽  
Author(s):  
Daniel Ott ◽  
Frank Houdek
Keyword(s):  
Large Scale ◽  
Electronic Control Unit ◽  
Control Unit ◽  
Research Direction ◽  
Requirement Engineering ◽  
Electronic Control ◽  
Passenger Cars ◽  
Engineering Research ◽  
Current Requirement ◽  
Requirement Specifications

Current Requirement Engineering research must face the need to deal with the increasing scale of today's requirement specifications. One important and recent research direction is handling the consistency assurance between large scale specifications and many additional regulations (e.g. national and international norms and standards), which the specifications must consider or satisfy. For example, the specification volume for a single electronic control unit (ECU) in the automotive domain sums up to 3000 to 5000 pages distributed over 30 to 300 individual documents (specification and regulations). In this work, we present an approach to automatically classify the requirements in a set of specification documents and regulations to content topics in order to improve review activities in identifying cross-document inconsistencies. An essential success criteria for this approach from an industrial perspective is a sufficient classification quality with minimal manual effort. In this paper, we show the results of an evaluation in the domain of automotive specifications at Mercedes-Benz passenger cars. The results show that one manually classified specification is sufficient to derive automatic classifications for other documents within this domain with satisfactory recall and precision. So, the approach of using content topics is not only effective but also efficient in large scale industrial environments.

Model-Based Design and Hardware-in-the-Loop Simulation of Engine Lean Operation

2014 ◽  
Author(s):  
Pushkar Agashe ◽  
Yang Li ◽  
Bo Chen
Keyword(s):  
Gasoline Engine ◽  
Control Strategies ◽  
Electronic Control Unit ◽  
Control Unit ◽  
Simulation Models ◽  
Operating Conditions ◽  
Hardware In The Loop ◽  
Vehicle Performance ◽  
Model Based ◽  
Hil Simulation

This paper presents model-based design and hardware-in-the-loop (HIL) simulation of engine lean operation. The functionalities of the homogeneous combustion subsystem in engine Electronic Control Unit (ECU) in dSPACE Automotive Simulation Models (ASM) are first analyzed. To control the gasoline engine in lean operation without the drop of output torque, the combustion subsystem in engine ECU is modified by introducing two control loops, torque modifier and fuel multiplier. The performance of these two controllers is evaluated by HIL simulation using a dSPACE HIL simulator. The HIL simulation models, including vehicle plant model and softECUs in HIL simulator and engine lean control model in hardware engine ECU are modeled using model-based design. With HIL simulation, the designed engine control strategies can be immediately tested to evaluate the overall vehicle performance. The HIL simulation results show that the designed lean combustion control strategy can reduce fuel consumption and is able to meet the torque requirement at lean engine operating conditions.

scholarly journals A Congestion Control System Based on VANET for Small Length Roads

2018 ◽  
Vol 2 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Ruchin Jain
Keyword(s):  
Congestion Control ◽  
Traffic Control ◽  
Ad Hoc ◽  
Control Unit ◽  
Daily Basis ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Vehicular Communication ◽  
The Road ◽  
Road Side Unit

As vehicle population has been increasing on a daily basis, this leads towards increased number of accidents. To overcome this issue, Vehicular Ad Hoc Network (VANET) has come up with lot of novel ideas such as vehicular communication, navigation and traffic controlling. In this study, the main focus is on congestion control at the intersections which result from unclear ahead. For this purpose, a city lane and intersection model has been proposed to manage vehicle mobility. It shows the actual vehicle to vehicle and vehicle to traffic infrastructure communication. The experiment was conducted using Network Simulator 2 (NS 2). The implementation required modelling the road side unit, traffic control unit, and on-board unit along the roadside. In the simulation, including traffic volume, the distance between two signals, end-to-end delay, packet delivery ratio, throughput and packet lost were taken into consideration. These parameters ensure efficient communication between the traffic signals. This results in improved congestion control and road safety, since the vehicles will be signalled not to enter the junction box and information about other vehicles.

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