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Prospective Technologies

This company develops high-accuracy, rapid battery degradation prediction algorithms for lithium-ion batteries. Their technology diagnoses State of Health (SoH) quickly, enabling accurate valuation of used battery assets. The solutions are robust to noisy measurement environments and applicable across various battery chemistries.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Accurately assessing battery State of Health (SoH) and degradation in aftermarket automotive applications remains a significant challenge. This difficulty impacts asset valuation and operational efficiency for businesses dealing with electric and hybrid vehicles.

Solution

Prospective Technologies offers advanced battery degradation prediction algorithms designed for rapid, robust, and battery-type agnostic SoH diagnosis. Their proprietary DC-based mathematical-statistical approach achieves high accuracy within minutes, overcoming limitations of traditional methods like EIS. This technology enables businesses to gain precise insights into battery condition, facilitating optimized asset valuation and improved operational workflows. The system is designed to be adaptable to various measurement environments and hardware, providing actionable data for aftermarket battery management.

Target Audience

The primary target audience includes automotive aftermarket service providers, battery remanufacturers, EV fleet operators, and financial institutions involved in vehicle asset valuation.

Features

  • Battery degradation prediction algorithms with a claimed accuracy of 90%+ within 2 minutes.
  • Battery-type agnostic technology applicable to both NiMH and Lithium-ion chemistries.
  • DC-based mathematical-statistical approach, distinct from EIS methods.
  • Robustness to noise and lower resolution data, supporting common measurement equipment (e.g., 12mV/12mA resolution, 100mSec sampling).
  • Insensitive to the State of Charge (SoC) status of the battery during testing.
  • SaaS platform for online and offline analysis, with support for Chromebooks and Google Chrome.
  • Engineering services for on-site issue resolution, environment optimization, and custom jig/fixture design.
  • Field services including SMU and fixture selection, measurement recipe optimization, and data acquisition support.
This profile is AI-generated and may contain inaccuracies.