Bijoy Mehta

14th January 2020

How can you Improve the Life and Performance of Lithium-ion Batteries?

The rise of the electric vehicle has forced automakers to take a closer look at their batteries.

While earlier, automakers have treated the battery as a black box, today they’re building their battery expertise in-house. Let’s take Tesla for example.

Panasonic has been an exclusive lithium-ion battery cell supplier for Tesla’s cars like Model S, Model X, and Model 3. In 2014, Tesla signed a deal with the Japanese conglomerate to jointly build a battery production facility – Gigafactory One to mass-produce 35 gigawatt-hours’ worth of Panasonic’s car batteries per annum.

Why?

Because Batteries are expensive!

Although the cost of lithium-ion batteries has decreased over the past decade, it still amounts to US$139 per KWh and continues to be the most expensive component of an electric vehicle.

For electric cars to be mainstream, they need to match petrol/diesel cars on price and range. And both those depend on unlocking the potential of the battery by getting more life and range out of it.

So how do we optimize battery life and performance?

Batteries are essentially a large number of cells packed together to provide power to the application it’s connected to. These cells require continuous management to operate within safe boundaries, i.e. a Battery Management System (BMS)

While numerous advancements are being made in cell technology to make them more efficient than before, none are closer to commercialization. Companies realize that the key differentiator lies in the BMS and its approach to managing the battery.

Designing BMS to be smarter and understand the behavior of the cells is the first step in building long-lasting batteries of the future. However, there’s a limit to the computing power that BMS will need to predict the behavior of the cells. A new layer of intelligence is required!

Using the power of Cloud Computing and Machine Learning, it’s possible to enhance the capabilities of the BMS and in turn, develop Digital Twins of the battery it manages. Using this battery data, we can gain critical insights into its health, a key determinant of the vehicle range it’s going to provide.

If you work with lithium-ion batteries, we’ve made a simple flowchart to see where you stand in building smart batteries:

ION helps you get more out of your BMS by identifying the underlying potential of battery data. Leverage it with machine learning, AI & analytics to accurately determine, predict and improve the life of batteries by up to 40%.

EDISON Analytics – ION’s full-stack battery intelligence platform is simplifying battery management the world over! Edison is enabling battery pack makers, electric fleet managers, and OEMs to maintain the battery’s performance & acquire better ROI through all stages of the battery lifecycle.

Edison delivers business improvements in all stages of the battery life cycle, enabling EVs & ESS providers to determine, predict and improve the life of lithium-ion batteries by up to 40%.

With Edison:
– Access real-time dashboard
– Monitor battery performance
– Set custom alerts

To know more about our BMS + Analytics platform, just say hi to us on hello@ionenergy.co.

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CASE STUDY

How ION Energy is Powering 8000 Battery-assisted Bicycles in Europe

The city councils in Europe plan to deploy 20,000 battery-assisted bicycles in one year and 50,000-100,000 every year going forward. The batteries powering these bicycles had to be compact, portable and double up as fast charging Power Banks, which is where ION stepped in.

CASE STUDY

How ION Energy is Powering 8000 Battery-assisted Bicycles in Europe

The city councils in Europe plan to deploy 20,000 battery-assisted bicycles in one year and 50,000-100,000 every year going forward. The batteries powering these bicycles had to be compact, portable and double up as fast charging Power Banks, which is where ION stepped in.

Read on to know how we helped the customer overcome these challenges.