The automotive market is changing fast. Innovation around autonomy, electrification, and mobility has disrupted the industry and shows no signs of slowing down. Consumer demands change every day, from wanting more connected cars to greater levels of safety, and governments are creating new regulations daily to support global trends for a greener society. In addition to this, software now holds a place as the most critical component in new vehicles, and its uses include apps in vehicles, sensing technologies supporting autonomy, electronics, embedded systems, and many more. It’s everywhere from a chip in the car to a stop light in a city’s infrastructure.

Vehicle electrification is a driving force of the ongoing revolution within the automotive industry. Engineering electric vehicles fast and profitably, while making them desirable to consumers, is a daunting challenge. Soft computing is the reverse of conventional computing. It refers to a group of computational techniques that are based on artificial intelligence and natural selection. It provides cost-effective solutions to complex real-life problems for which a conventional computing solution does not exist. A revolution is transforming the automotive industry, and powerful digital technologies are driving the demand for autonomous transport solutions, which are disrupting existing approaches to car building. These smart and connected vehicles powered by soft computing represent a considerable challenge and opportunity for automakers. Developing future vehicles comes with a great increase in complexity, so the right tools and technology will be needed.

The aim of this Special Issue is to explore the role of soft computing in developing sustainable design solutions for next-generation electric vehicles. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Soft computing in electric vehicle wireless power transfer systems in smart grids
• Soft computing in Energy management and coordination of energy generation with smart charging of electric vehicles, vehicle to grid and energy storage to enhance grid stability, increase energy autonomy and reduce carbon footprint
• Soft computing in Eco system and system architecture for electric mobility
• Soft computing in electric vehicle design, modelling and optimization
• Environmental and socio-economical aspects of electromobility
• Soft computing in hybrid electric vehicles for energy and environment assessment
• Soft computing in automotive and grid scale applications for sustainability assessment
• Soft computing in power supply management for an electric vehicle
• Soft computing in car software and electronics architecture
• Soft computing in electric vehicle life cycle assessment
• Soft computing in electric vehicles charging systems in industrial, commercial, and residential scenarios