It is considered that diagnosing the battery health (SoH) and degradation of individual vehicles in the aftermarket remains a longstanding challenge.
We invented, developed, and evolved a technology that predicts with high accuracy within a couple of minutes.
Our solutions have been validated with hundreds of thousands market data and to be implemented in the real businesses.
We have class-leading battery degradation prediction diagnosis technologies.
Our comprehensive suite of professional services caters to a diverse clientele, ranging from homeowners to commercial developers.
Accurate
An accuracy of 95%＋ can be expected. the more measurement data, the better accuracy.
Quick
Two(2) minutes with our recipe under software control.
Robust to noises and low resolution
Our algorithms can use commonly used switching power supplies and 16-bit voltmeters.
Battery type agnostic
Applicable to various types of lithium-ion batteries, not limited to NiMH.
Visibility
The status of changes and trends in prediction accuracy can be monitored and analyzed.
Field services
Provide engineering services to find and resolve issues at the customer site,
What benefits can you enjoy?
Our comprehensive professional service includes SMU and fixture selection and set-up support, best-suited measurement recipe, data acquisition operations, the latest version of individual algorithm and monitoring of measurement performance results.
Prediction accuracy means profits.
- Know the value of DUTs, then you can sell them at reasonably high price.
- Increase time productivity
- Eliminate unnecessary measurement process.
Applying scientific and engineering knowledge.
- “Garbage in, garbage out” is truth.
- Generic SMUs can provide sufficient prediction accuracy with our proprietary software.
- Usually the measurement environment is full of noise. Get to the root cause of it and take countermeasures.