Jove
Visualize
Contact Us

Related Concept Videos

Batteries and Fuel Cells03:12

Batteries and Fuel Cells

A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
Electrical Systems01:21

Electrical Systems

In electrical engineering, the analysis of networks composed of passive linear components — resistors (R), capacitors (C), and inductors (L) — is fundamental. These components are organized into circuits where the relationship between input and output can be analyzed using transfer functions. The transfer function of an RLC circuit, which relates the voltage across a capacitor to the input voltage, can be derived using Kirchhoff's laws.
To derive the transfer function, consider an RLC circuit...
Internal Combustion Engine01:20

Internal Combustion Engine

The internal combustion engine is a heat engine that uses the byproducts of combustion as the working fluid instead of using a heat transfer medium to transfer heat. The combustion is done in a way that produces high-pressure combustion products that can be expanded through a turbine or piston to create work. Internal combustion engines can again be categorized into three kinds: (1) spark ignition gasoline engines, most commonly used in automobiles, (2) compression ignition diesel engines that...
Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

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 rapid...
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion. The...
PD Controller: Design01:26

PD Controller: Design

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,...

You might also read

Related Articles

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

Sort by
Same author

Model-Free Dual Heuristic Dynamic Programming.

IEEE transactions on neural networks and learning systems·2015
Same author

GrDHP: a general utility function representation for dual heuristic dynamic programming.

IEEE transactions on neural networks and learning systems·2014
Same author

Special issue on neural networks for feedback control systems.

IEEE transactions on neural networks·2007
Same author

Training recurrent neurocontrollers for real-time applications.

IEEE transactions on neural networks·2007
Same author

Training winner-take-all simultaneous recurrent neural networks.

IEEE transactions on neural networks·2007
Same author

Training recurrent neurocontrollers for robustness with derivative-free Kalman filter.

IEEE transactions on neural networks·2006
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 Experiment Video

Updated: Jul 7, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Toyota Prius HEV neurocontrol and diagnostics.

Danil V Prokhorov1

  • 1Toyota Technical Center, A division of Toyota Motor Engineering and Manufacturing North America (TEMA), Ann Arbor, MI 48105, United States. dvprokhorov@gmail.com

Neural Networks : the Official Journal of the International Neural Network Society
|February 8, 2008
PubMed
Summary

A new neural network controller enhances Toyota Prius fuel efficiency and detects battery faults. This advanced control system uses recurrent neural networks and the extended Kalman filter for improved performance.

More Related Videos

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity
07:42

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity

Published on: April 26, 2012

Related Experiment Videos

Last Updated: Jul 7, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity
07:42

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity

Published on: April 26, 2012

Area of Science:

  • Automotive Engineering
  • Artificial Intelligence
  • Control Systems

Background:

  • Hybrid electric vehicles (HEVs) require sophisticated control systems for optimal performance and efficiency.
  • Battery health is critical for HEV operation, and faults can significantly impact efficiency and safety.

Purpose of the Study:

  • To develop a novel neural network controller for enhancing the fuel efficiency of the Toyota Prius hybrid electric vehicle.
  • To introduce an advanced method for detecting and mitigating battery faults in HEVs.

Main Methods:

  • Implementation of a neural network controller utilizing recurrent neural networks (RNNs).
  • Integration of the extended Kalman filter (EKF) for robust state estimation and fault detection.
  • Application of the proposed approach to the Toyota Prius hybrid electric vehicle control system.

Main Results:

  • Demonstrated improvement in fuel efficiency for the Toyota Prius.
  • Successful detection and mitigation of simulated battery faults.
  • Validation of the controller's effectiveness in a real-world HEV application.

Conclusions:

  • The proposed neural network controller offers a significant advancement in HEV fuel efficiency.
  • The integrated fault detection and mitigation method enhances the reliability and safety of HEVs.
  • The developed approach is generalizable to other advanced control systems beyond the Toyota Prius.