About future automotive energy storage devices

Which energy storage sources are used in electric vehicles?

Electric vehicles (EVs) require high-performance ESSs that are reliable with high specific energy to provide long driving range . The main energy storage sources that are implemented in EVs include electrochemical, chemical, electrical, mechanical, and hybrid ESSs, either singly or in conjunction with one another.

Which energy storage systems are suitable for electric mobility?

A number of scholarly articles of superior quality have been published recently, addressing various energy storage systems for electric mobility including lithium-ion battery, FC, flywheel, lithium-sulfur battery, compressed air storage, hybridization of battery with SCs and FC , , , , , , , .

How can auxiliary energy storage systems promote sustainable electric mobility?

Auxiliary energy storage systems including FCs, ultracapacitors, flywheels, superconducting magnet, and hybrid energy storage together with their benefits, functional properties, and potential uses, are analysed and detailed in order to promote sustainable electric mobility.

What are energy storage and management technologies?

Energy storage and management technologies are key in the deployment and operation of electric vehicles (EVs). To keep up with continuous innovations in energy storage technologies, it is necessary to develop corresponding management strategies. In this Review, we discuss technological advances in energy storage management.

Why do we need EV storage?

EV storage needs to address complex issues related to intra-day storage demand resulting from the high penetration of variable renewable energy, and tends to facilitate a distributed energy system where end-users can support each other instead of purely relying on the main grid.

How can energy storage management improve EV performance?

Energy storage management strategies, such as lifetime prognostics and fault detection, can reduce EV charging times while enhancing battery safety. Combining advanced sensor data with prediction algorithms can improve the efficiency of EVs, increasing their driving range, and encouraging uptake of the technology.