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Beyond informing hardware design decisions, real- time data can be used to dynamically optimize a system's performance—for example, how a battery system's output power varies with temperature. A modern EV is equipped with sensors that measure battery output and temperature in real time, allowing engineers to better understand their system's optimal performance with respect to these variables. With this knowledge and real- time data from sensors, EVs can dynamically optimize the battery's performance to ensure safety and reliability. The potential for data-driven optimization is great, but the technology is certainly not without challenges. For example, some EVs may rely on cloud communication: Sensor data is first sent to the cloud and then analyzed off-vehicle. Significant challenges that emerge from this reliance on cloud communication include the following: • The need for a common data format • Privacy and security • The high cost of pushing data to the cloud NXP helps EV designers create data-optimized vehicle electrification solutions by doing the following: • Providing a suite of analog sensing hardware solutions to help obtain vehicle data • Offering a variety of low- power microcontrollers that enable edge computing, which eliminates the need for costly and nonsecure cloud communication • Leveraging third-party partnerships with cloud companies to ensure safe and reliable cloud intelligence for its customers C h a p t e r 1 | D e s i g n i n g f o r D a t a - D r i v e n O p t i m i z a t i o n Sai Srinivas C. Petluru Electric Vehicles - Connectivity Systems Specialist, Cummins Inc. Connectivity within EVs is rapidly evolving. There are now many smart devices on board an EV, and engineers need to go above and beyond to ensure they interact in safe and useful ways." 6 7 Experts on Designing Vehicle Electrification Solutions