Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

376
The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
376
Controller Configurations01:22

Controller Configurations

183
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
183
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.2K
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
1.2K
Control Systems: Applications01:25

Control Systems: Applications

841
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
841
PD Controller: Design01:26

PD Controller: Design

384
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
384
PI Controller: Design01:24

PI Controller: Design

579
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
579

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Polymeric Nano Drug Delivery Systems for Overcoming Tumor Microenvironment-Mediated Drug Resistance.

Pharmaceutics·2026
Same author

A novel antibody against CD300c ameliorates cognitive deficits and reduces pathology in the late-stage of APP/PS1 mouse model.

Journal of Alzheimer's disease : JAD·2026
Same author

Barrier-Oriented Design of Next-Generation Polymeric Nanocarriers for Targeted Drug Delivery.

Molecules (Basel, Switzerland)·2026
Same author

The menstrual cycle through the lens of a wearable device: insights into physiology, sleep, and cycle variability.

NPJ digital medicine·2026
Same author

Exploring the immunological functions of calreticulin 3a from Scomber japonicus (SjCalr3a): insight into antimicrobial defense, cytoprotection, and pro-inflammatory responses.

Fish & shellfish immunology·2026
Same author

Segment anything model guided dual-mask framework for anatomically faithful medical image translation.

Scientific reports·2026

Related Experiment Video

Updated: Oct 12, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

An FPGA-Based ECU for Remote Reconfiguration in Automotive Systems.

Kwonneung Cho1, Jeongeun Kim1, Do Young Choi1

  • 1Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea.

Micromachines
|November 27, 2021
PubMed
Summary

This study introduces a remotely hardware-reconfigurable electronic control unit (ECU) for intelligent vehicles. This innovation enables in-system reconfiguration, overcoming limitations of software-only updates for automotive systems.

Keywords:
Zipwire controllerautomotive systemselectronic control unitshardware-reconfigurable ECUsin-system reconfiguration

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.7K
A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.7K

Related Experiment Videos

Last Updated: Oct 12, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.7K
A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.7K

Area of Science:

  • Automotive Engineering
  • Embedded Systems
  • Hardware Reconfiguration

Background:

  • Intelligent vehicles increasingly rely on numerous electronic control units (ECUs).
  • Efficient management and flexible updating of automotive ECUs are crucial.
  • Software updates face limitations due to fixed hardware circuits.

Purpose of the Study:

  • To propose a remotely hardware-reconfigurable ECU for automotive systems.
  • To enable in-system reconfiguration (ISR) for enhanced flexibility.
  • To address limitations of software-only updates in automotive ECUs.

Main Methods:

  • Implementation of a hardware-reconfigurable ECU using a field-programmable gate array (FPGA) and microcontroller unit (MCU).
  • Utilization of Zipwire communication for high-speed and resilient data transfer between FPGA and MCU.
  • Design and implementation of a dedicated Zipwire controller within the FPGA.

Main Results:

  • Successful implementation of the proposed hardware-reconfigurable ECU.
  • Demonstration of the feasibility of in-system reconfiguration for automotive ECUs.
  • Validation of high-speed and resilient communication via Zipwire.

Conclusions:

  • Hardware-reconfigurable ECUs offer a viable solution for advanced automotive system management.
  • In-system reconfiguration overcomes limitations of traditional software updates.
  • The proposed FPGA-MCU based ECU with Zipwire communication is a promising advancement for intelligent vehicles.