The world’s unrivaled leader in automotive battery diagnostics and testing, Midtronics, is unveiling a new core technology called MDX-AI for automotive service equipment to serve current, upcoming, and legacy vehicles faster and more accurately than ever thought possible.
Key Takeaways
- The MDX-AI represents a new generation of battery diagnostics, using machine learning to improve test accuracy and interpretation.
- AI-assisted diagnostics can identify subtle battery degradation patterns that traditional conductance testing alone might miss.
- The MDX-AI produces plain-language recommendations that technicians can communicate directly to customers without interpretation.
- Cloud connectivity allows test data to be stored, analyzed across fleets, and used to predict future battery failures proactively.
- Midtronics built the MDX-AI on decades of conductance testing data, giving it a uniquely large training dataset for battery health assessment.
- AI-enhanced battery diagnostics represent the direction of the industry — shops investing now will have a competitive edge as EV service expands.
Experience, Expertise, Innovation
For four decades, Midtronics has been the unrivaled leader in automotive battery diagnostics and testing. Midtronics innovations have helped car manufacturers, franchised and independent repair shops, and DIYers maintain vehicle batteries and diagnose issues accurately. Throughout this time Midtronics has amassed experience, expertise, and innovation, helping our customers grow their battery profitability.
MDX-AI supplies an endless source of growth for battery business
With the help of artificial intelligence, Midtronics is introducing the most powerful battery diagnostic technology the world has ever seen: MDX-AI. Harnessing four decades of experience, expertise, and innovation, MDX-AI solves previously unsolvable problems in the world of battery business management, supplying battery service providers with an endless source of growth for battery business.
Midtronics President, Will Sampson, said, “We recognize our customers need the right answer as fast as possible. MDX-AI is a big step forward in our ability to deliver on that expectation and continue to keep getting better.”
MDX-AI Eliminates ‘Charge and Retest’ Decisions
Long one of the most inconvenient decisions from a battery test, ‘Charge and Retest’ is eliminated with MDX-AI. Midtronics’ test algorithm ensures a precise and accurate decision on a battery’s health quickly, providing technicians the ability to service vehicles faster without sacrificing precision.
“Time is money for service providers. However, speed and accuracy were long thought of as a trade-off in battery diagnostics. MDX-AI breaks this standard, allowing technicians to accurately diagnose batteries in seconds regardless of state of charge or situation. The capabilities of MDX-AI are endless.” said Ryan Sweeney, Global Marketing Director of Midtronics.
MDX-AI accurately evaluates an EV 12V battery’s ability to support critical functions
The 12V aux battery is the #1 reason for electric vehicle roadside events. The 12V system in electric vehicles is designed to provide power to all systems outside propulsion, including safety systems like ABS and Power Steering. It is critical that the 12V battery provides a driver with enough power to safely get to the side of the road should the DC converter fail. MDX-AI enables accurate diagnostics of the 12V battery’s ability to support critical functions.
Additional capabilities made possible by MDX-AI
- Allows accurate battery testing with little to no user input, removing barriers to proactively diagnosing batteries.
- Provides instant decisions in preventative maintenance testing, reducing time spent testing.
- Enables accurate battery testing despite system noise, enabling battery tests in even the trickiest situations
Midtronics products and technologies the choice of almost every car manufacturer in the world, and recognized as the benchmark in battery diagnostics for both in-warranty and out-of-warranty applications. MDX-AI is set to be a core technology in all Midtronics products starting this fall.
Frequently Asked Questions
What makes the MDX-AI different from standard Midtronics battery testers?
The MDX-AI adds machine learning interpretation on top of the proven conductance testing foundation. Instead of returning a simple pass/fail based on conductance thresholds, it analyzes multiple data points — including charge history, temperature, and conductance trends — to produce a more nuanced assessment of battery health and remaining useful life.
Does the MDX-AI require an internet connection to function?
For basic battery testing, the MDX-AI operates standalone without connectivity. The cloud features — test history synchronization, fleet-level analytics, and model updates — require a connection, but connectivity loss doesn’t disable core diagnostic functionality.
How does AI improve battery test accuracy compared to traditional methods?
Traditional conductance testing applies fixed pass/fail thresholds. AI-assisted testing can account for variables like ambient temperature, battery chemistry, vehicle age, and charge state more dynamically, reducing both false positives (flagging healthy batteries) and false negatives (passing batteries that are actually near end of life).
Can the MDX-AI be used on EV 12V auxiliary batteries?
Yes. The MDX-AI handles all common 12V battery types including flooded, AGM, and EFB — covering both conventional ICE vehicles and the 12V auxiliary systems in electrified vehicles. For high-voltage EV pack diagnostics, Midtronics offers the separate xHVS-3000 product line.
How does fleet data help predict battery failures before they happen?
When battery test results are stored in a connected system, trends become visible across a fleet over time. A battery that shows steady conductance decline can be flagged for replacement before it reaches failure threshold — eliminating unplanned breakdowns. The Midtronics Battery Management System enables this kind of proactive fleet management.
What shops benefit most from AI-enhanced battery diagnostics?
High-volume dealerships and fleet service centers benefit most, because AI interpretation scales well across many vehicles and large datasets. Independent shops benefit from more confident recommendations — the AI removes ambiguity from borderline test results, making it easier to have honest conversations with customers about battery health.