Eurostars Eureka Project: Smart Charging & Alelion Energy Systems
Tempus Energy is very excited to announce our project with Alelion Energy Systems in Europe. Alelion are a Swedish based company who specialise in building Lithium-ion batteries, primarily for industrial vehicles. Among their customers are some of the world's largest truck manufacturers, such as Toyota Material Handling and Jungheinrich.
We are honored that the project between Tempus and Alelion was chosen to be part of the Eurostars program, which is a joint innovation program between EUREKA and the European Commission. The program was co-funded from the national budgets of 36 participating states and partner countries and by the European Union through Horizon 2020. Its purpose is to support the development of innovative products, processes or services that can help improve the lives of people worldwide and which can reach the market in a short period of time.
Over the duration of this project trials will occur at four test sites, the first of which will be at Alelion’s Gothenburg location.
Alelion is accelerating the transition to lithium-ion batteries from lead acid ones in industrial applications. Their batteries are lightweight and charge much more quickly, enabling a greater capability for smart charging. A typical lead acid battery would take around 12-14 hours for a full charge whereas Alelion’s lithium-ion batteries charge in around 3-6 hours. This reduction in charging time allows for a greater optimisation opportunity.
Our project with Alelion will use the Tempus technology for Smart Charging – optimising the electric charging of batteries to align with cheaper, low carbon energy when it is available. One application we are keen to explore is their fleets of electric forklift trucks - as these processes are run throughout the day, they are free to charge for long periods of time overnight. During this charging period the Tempus technology will refuel the batteries in increments to achieve the lowest cost and carbon footprint.
The AI technology we use understands how long the battery needs to achieve a full charge, and the time period it must do it in. It will then use predictions to plot an optimised charging schedule. The AI algorithms are continuously learning and updating with new predictions in real time to deliver the best possible results.
We see the learnings from this project as increasingly important due to the market share of electric vehicles growing and adding more pressure to the electricity grid. If everyone gets home from work and plugs their electric car in to charge this will cause a huge strain on the grid and mean that fossil fuel peaking power plants need to be switched on to cope.
Using Smart Charging the consumer plugs their car in to charge, specifying when they will need to use it again and the technology will plot the optimal charging schedule. Taking Smart Charging to the next level, it can also use electric vehicles as storage devices during their charging periods - feeding electricity back onto the grid during times of high demand. The optimisation process transforms the batteries from electricity consuming cost liabilities into a money saving-asset.
Projects such as this one pave the way for the smart charging of both industrial and personal electric vehicles (EVs) which can be used to support the intermittency of renewable generation and create a clean future energy grid.