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The equation is simple- “ Use less and sell more in peak hours”Batteries are the key here. In non-peak hours(overnight- to early mornings), electricity demand is less which means price is also less. The consumers ...
While the EV space is expanding at a phenomenal rate and the industry is moving fast towards the promised future, we at The Energy Company have come to the realisation that there are a few basic and rudimentary things that need to evolve to bring about revolutionary changes to the functionality and longevity of EVs.
When you pick apart the challenges of owning LEV’s over ICE (Internal Combustion Engine) Vehicles, one of the first things to come to mind is how does one go about dealing with the questions about recharging; more specifically how to best optimise EVs to be at least on par if not better at refuelling than regular ICE vehicles.
The health and safety of the battery, the most expensive component of an EV, depends a lot on its usage profile and the environmental conditions it has been exposed to. Accurate battery data is crucial for determining its SOH (state of health) and RUL (remaining useful life).
We determined our secret sauce and understood the need for a different testing approach. Let’s deep dive into how we came up with this Real-World Approach to Product Testing.
The equation is simple- “Use less and sell more in peak hours” Batteries are the key here. In non-peak hours(overnight- to early mornings), electricity demand is less which means price is also less. The consumers ...
This document details rigorous tests to help battery manufacturers evaluate and classify products for safety and design excellence. While offering valuable insights, these tests may not fully determine a product's overall safety.
Unlock smarter battery performance today. Contact The Energy Company to experience how our advanced balancing algorithm and full-stack solution can maximize your EV fleet’s range, reduce downtime, and lower total cost of ownership.
Our digital twin was collapsing under the weight of streaming IoT data. This is the story of our emergency re-architecture, the power of Kafka, and the "3 Scaling Commandments" that saved our real-time platform.
