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Technology

Our technology detects battery health to determine the recovery methods of used batteries for reusing and repurposing. We send the physically damaged batteries to recycling partners with safe and sustainable solutions.

Our R&D team works continuously to develop the technology to increase the speed of the test and regeneration process by understanding more parameters and developing the algorithm accordingly. 

Since 2012, Our partners at Battery Bank Systems in Nagoya – Japan, have been developing the tools that our team continues to develop and innovate new tools using machine learning and AI to keep up with the rapidly changing technology advancement. 

Battery Types by Sector

Automotive

- Traditional Gasoline-powered Vehicles Primarily use lead-acid batteries for starting, lighting, and ignition (SLI).
- Electric Vehicles (EVs): Primarily powered by lithium-ion (Li-ion) batteries due to their high energy density and efficient charge-discharge cycles.
- Hybrid Vehicles: Older models typically use nickel-metal hydride (NiMH) batteries, while newer models are transitioning to lithium-ion.

Industrial

- Heavy-duty Equipment (e.g., forklifts, floor cleaners): Often utilise lead-acid batteries.
- Power Tools: Depending on the era and design, can be powered by nickel-cadmium (NiCd), nickel-metal hydride (NiMH), or lithium-ion (Li-ion) batteries.

Telecommunications

- Heavy-duty Equipment (e.g., forklifts, floor cleaners): Often utilise lead-acid batteries.
- Power Tools: Depending on the era and design, can be powered by nickel-cadmium (NiCd), nickel-metal hydride (NiMH), or lithium-ion (Li-ion) batteries.

Renewable Energy & Grid Storage

- Heavy-duty Equipment (e.g., forklifts, floor cleaners): Often utilise lead-acid batteries.
- Power Tools: Depending on the era and design, can be powered by nickel-cadmium (NiCd), nickel-metal hydride (NiMH), or lithium-ion (Li-ion) batteries.

BBS Machines

The main concept of creating the following Exelx new testing and maintenance machines is to speed up the workflow and reduce time to diagnose batteries with high accuracy and minimal human errors and provide more safety.

C-4500 Multiloop Recovery Charger 210V 1.5KVA
C-4500 Multiloop Recovery Charger 210V 1.5KVA
Voltage: 210V
KVA: 1.5KVA
Indication: NiMH Batteries
C-4500 Multiloop Recovery Charger 120V 2.4KVA
Voltage: 120
KVA: 2.4
Indication: Li-Ion 120V Battery
C-450 Multi Step Loop
Voltage: 6-12V
Indication: Lead Acid Batteries, NiMH & Lithium Batteries
C-450 Multiloop Recovery Charger 48V 1200W
Voltage: 48V
Watt: 1200W
Indication: Lithium-ion Batteries
C-4500 Multiloop Recovery Charger 48V 3-9KVA
Voltage: 48V
KVA: 3-9KVA
Indication: Lead Acid Batteries

Exelx Machines

The main concept of creating the following Exelx new testing and maintenance machines is to speed up the workflow and reduce time to diagnose batteries with high accuracy and minimal human errors and provide more safety.

(BDU - Version one)
Diagnostic single cell machine

Battery Diagnosis Unit is, a unit which diagnosis batteries with high accuracy whether it’s (strong, weak, reversed polarity or voltage dropped) and can manage discharging process.

(AI-BDU - Version two)
Developing Artificial diagnostic cell

Artificial Battery Diagnosis Unit is, a unit which diagnosis batteries performance and state of health with high accuracy whether it’s (strong, weak, reversed polarity or voltage dropped) and can manage discharging process.

Why

we’re using Artificial intelligence?

We decided to launch our AI project development to classify the charging/discharging operation of battery cells to predict battery performance for health state using Artificial intelligence techniques. 

Artificial intelligence (AI) has become the de facto method for prediction tasks. Provided enough data, AI algorithms can be trained to predict if an individual cell will fail the rehabilitation process beforehand with a high degree of confidence.

The Future of the Technology

The “One Chip Project” is a historic first step to talking about such a big journey to the future, To consolidate and overcome inventory burdens by converting existing circuit technology and software to LSI.

The project goal is to expand work volume and solve semiconductor shortages in addition to increasing workflow and operation effectiveness and efficiency.

To do this, we need to re-arrange and edit the existing circuits and software to be used for various purposes and integrate new semiconductors. The new integrated DSP chip is fully developed Software. Parameter development is progressing, so various chargers and their application products can be developed based on this integration. The new integration is used as the controller because it is very fast, and instruction sets are optimised for high-speed numeric.

DSPs are also less susceptible to ageing. It has an environmental variation with better noise immunity, integrating multiple converter controls into the same processor and optimising the total system cost.