The new MCU product line consists of total of 91 products including 60 products in the RL78/F13 Group and 31 products in the FL78/F14 Group. The RL78/F13 MCUs are designed for use in a wide range of automotive applications; from body control systems such as power window and side mirror control, to automotive motor control systems such as electric water pumps and cooling fans. The RL78/F14 MCUs support the body control system applications, such as BCM (body control module) and HVAC (heating, ventilation, and air conditioning) control that require especially large memory capacities.
In recent years, automobiles have seen an increasing use of electronics for functions such as real-time recognition and cloud connection IT to achieve automobiles that, in addition to the existing automotive functions of running, turning, and stopping, also provide a safe, secure, and pleasant driving experience. While there continues to be demand for diversification of specifications by automakers and by model, there is, along with this trend, also a demand for an extensive MCU lineup that can cover all ECU (electronic control unit) systems as a common platform solution. Furthermore, as the use of electronics in cars increases, the number of ECUs in a single car is also increasing. Therefore both automakers and ECU manufacturers are concerned with miniaturization, lighter weight, and lower power consumption in ECUs, and are also striving to assure safety as well. Renesas addresses these market needs by introducing the new RL78/F13 and RL78/F14 MCUs that offer a rich set of features and safety capabilities required for future ECU developments.
Key features of the RL78/F13 and RL78/F14 MCUs include:
· Extensive product lineup that supports easy platform standardization contribute to development efficiency. To support needs such as the ability to change ROM sizes due to difference in system specifications to supporting reuse in a completely different system, the new MCUs all integrate the same CPU core, peripheral functions including automotive networks such as