Insights from battery experts

There are a complex variety of causes of reliability and safety problems with electric vehicle batteries. In this whitepaper, we explore EV battery safety and reliability concerns, potential causes of issues, and how battery analytics can help overcome these challenges.

The latest version of the TWAICE simulation model, Version 9, introduces the first steps towards a new generation of battery simulation models: The physics-motivated semi-empirical aging models.

In this whitepaper, we discuss the core challenges caused by battery aging, how these affect aftersales departments across the industry, and how battery analytics can help OEMs overcome these challenges.

The lithium-ion battery market is growing fast, meaning safety incidents are likely to get more and more frequent. Battery analytics helps companies reduce the risk of battery energy storage system fires.

What kind of e-bus charging strategies exist and what is their impact on battery health and aging? This whitepaper provides these answers and shows how battery analytics can help operators make data-driven, informed decisions regarding the best charging strategies for their e-bus fleets.

Lithium-ion batteries play an essential role in the transition to renewable energies and in generating electricity from more reliable and sustainable technologies. Even though NMC is currently the most mature existing technology, and it is therefore widely used, especially in the automotive industry, LFP technology is increasing in popularity due to cost and safety advantages.

Continuous impedance monitoring provides significant insights into the aging status of a battery. However, the on-line determination of battery impedance parameter for its low-frequency part is a challenging task. This paper provides an algorithm for its determination, which features a novel approach to quantifying the impedance caused by diffusion processes at low frequencies.