Passenger Car Drives Suitably Electrified and Modular

01-07-2025
Cover Story

Published in:

Author: Thomas Schneider
Published in: MTZ worldwide | Issue 7-8/2025

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Excerpt

The article examines the ongoing debate between standardized and customized vehicle drive solutions, emphasizing the need for a balanced approach to meet diverse user requirements and economic viability. It explores the spectrum of hybrid drive typologies in the passenger car segment, from micro hybrids to BEVs with range extenders, and highlights the importance of modular hardware and software solutions. The article features insights from AVL on hybrid drive solutions with range extenders, popular among Chinese manufacturers, and IAV's developments in modular functional software for integrated drive control systems. Additionally, it includes an interview with Prof. Maximilian Brauer from TU Berlin, assessing the current situation in the German university landscape and trends in drivetrain development. The article also references related publications, offering readers a deeper dive into the topic.

AI Generated

This summary of the content was generated with the help of AI.

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Engineering + Technology"

Online-Abonnement

Springer Professional "Engineering + Technology" gives you access to:

more than 67.000 books
more than 390 journals

from the following specialised fileds:

Automotive
Business IT + Informatics
Construction + Real Estate
Electrical Engineering + Electronics
Energy + Sustainability
Mechanical Engineering + Materials

Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics & Engineering + Technology"

Online-Abonnement

Springer Professional "Business + Economics & Engineering + Technology" gives you access to:

more than 102.000 books
more than 537 journals

from the following subject areas:

Automotive
Construction + Real Estate
Business IT + Informatics
Electrical Engineering + Electronics
Energy + Sustainability
Finance + Banking
Management + Leadership
Marketing + Sales
Mechanical Engineering + Materials
Insurance + Risk

Secure your knowledge advantage now!

inform now

Worldwide Automotive Package

We make your automotive knowledge compactly!

Get all the international automotive knowledge you need with the Worldwide Automotive Package.

You receive all Automotive Worldwide e-magazines with only one access for you and your colleagues.

inform now

MTZ worldwide

MTZ worldwide is always in pole position when it comes to engine development and technology. Packed with detailed reports from research and development for highly specialised engineers.

Order your 30-days-trial for free and without any commitment.

inform now

previous article Hydrogen Gets Its Opportunity in Motor Racing

next article The Renaissance of Range Extenders

Metadata

Title: Passenger Car Drives
Suitably Electrified and Modular
Author: Thomas Schneider
Publication date: 01-07-2025
Publisher: Springer Fachmedien Wiesbaden
Published in: MTZ worldwide / Issue 7-8/2025
Electronic ISSN: 2192-9114
DOI: https://doi.org/10.1007/s38313-025-2082-x

Springer Professional

Passenger Car Drives Suitably Electrified and Modular

Excerpt

Excerpt

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Engineering + Technology"

Springer Professional "Business + Economics & Engineering + Technology"

Worldwide Automotive Package

MTZ worldwide

Other articles of this Issue 7-8/2025

Driving Transformation

Hydrogen Gets Its Opportunity in Motor Racing

Formula 1 Turbocharger Technology as a Driver of Powertrain Innovation

Enhanced Comfort, Efficiency and Flexibility - Optimizing Autonomous Driving with AI Algorithms

Potential of Synthetic Data for Automotive Development

Less Simulation Time through Machine Learning in Thermal Management of Electric Vehicles

Premium Partner