Freescale Semiconductor announced the availability of the industry’s first general market AEC-Q100 qualified intelligent battery sensor to combine three measurement channels, a 16/32-bit MCU, and a CAN protocol module in a single package. Designed to support
both conventional and emerging battery chemistries for automotive and industrial applications, the MM9Z1J638 battery sensor measures key battery parameters for monitoring state of health (SOH), state of charge (SOC) and state of function (SOF) for early failure prediction. A flexible four-cell front end architecture supports conventional 12V lead acid batteries as well as emerging battery applications, such as 14V stacked cell Li-Ion, high voltage junction boxes, and 24V truck batteries.
Battery failure is one of the leading causes of vehicle breakdowns due to electrical system errors. Rising levels of electrical load in vehicles are placing increased strain on batteries as new, mission-critical requirements such as engine start-stop functionality become increasingly common. According to analyst firm Strategy Analytics, more than 52 million vehicles worldwide will support start-stop functionality by 2020. Start-stop requirements, together with others such as regenerative braking and intelligent alternator control, are driving demand for more precise sensing of the battery’s state to provide early failure warnings.
Integrating a 16/32 bit S12Z microcontroller with 128K Flash, 8K RAM and 4K EEPROM together with a CAN protocol module, LIN interface and a three-channel analog measurement front end, the MM9Z1J638 battery sensor combines analog, processor and communication functions in a single package to help lower total bill of materials and accommodate advanced battery monitoring algorithms. The analog front end includes a two-channel, 16-bit sigma delta (ΣΔ) analog-to-digital converter (ADC) for simultaneous measurement of battery voltage and current, as well as a third 16-bit ΣΔ ADC for temperature monitoring using the integrated sensor and redundant measurement plausibility checks to support functional safety.