Connected toolchain

Battery Lifetime Prediction for Electric Vehicle Fleets

Real time battery state monitoring

The electrified powertrain relies heavily on the battery. And while it is a key component in the quest to reduce emissions, it must also meet performance targets if it is to satisfy market demands.

However, the lifetime of lithium-ion batteries still poses challenges for OEMs and fleet managers. As batteries age, their performance is reduced, particularly in terms of energy storage and power output. OEMs must therefore consider battery degradation at every stage, from design to end-of-life. However, a variety of complex factors also impact the battery lifetime.

The Complexity of Battery Lifetime Prediction

Battery cell aging is affected by a range of influences, many of which can be unpredictable and hard to consider. The driving behavior of the end user and environmental influences, for example, are two such factors.

As a result, while manufacturers generally conduct battery ageing analysis at cell level in early stages of vehicle development, in-use phases are often not included. At AVL we are developing a toolchain that will change this.

Our battery lifetime prediction toolchain will include battery testing, battery aging simulation and, most usefully, vehicle fleet tracking. This will enable us to gain an accurate picture of the impact of driving behavior on battery ageing.

With our incredibly secure data transfer system, Device.CONNECT™, your data is transferred from the vehicles on the road to a customized analytics platform. The real time data is then processed for digital twin and predictive maintenance applications. Our toolchain also makes your data available for visualization and statistics.


The Benefits of the AVL Battery Lifetime Toolchain

Our comprehensive and holistic approach to battery lifetime prediction, which includes this unique approach to in-use monitoring, has a wide range of advantages. Primarily it allows OEMs and fleet managers to understand the main drivers of battery ageing and improve their electric vehicle operating strategy.

Fleet operators can plan battery replacement costs and the battery’s second life value, and improve the vehicle warranty process. Battery life can be balanced across the fleet, and predictions about when and why battery life will come to an end can be made.

Furthermore, this insight will enable operating strategy optimization to increase fleet driving range and lifetime, and to avoid routes, conditions and behaviors that drive ageing.

Some other benefits of our approach include:

  • Real-time battery observation of all fleet vehicles
  • Real-time battery damage monitoring
  • Route and strategy optimization
  • Time and cost saving with predictive maintenance