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SUSTAINABILITY SOLUTIONS


TAKING THE ROUTE TO SUST Patrick Morgan, corporate vice president, Analog Devices,


examines how ADI Recharge, the company’s electrification solutions portfolio, is empowering the automotive value chain with disruptive capabilities


A


DI Recharge, Analog Devices electrification solutions portfolio, is redefining how the


electric mobility and sustainable energy ecosystem can create and deliver greater value to the electric vehicle (EV) owner. ADI Recharge enables better EV operations and lifetime value of the battery, ultimately helping to improve the total cost of EV ownership. ADI is working with OEMs, Tier 1s, battery


manufacturers, energy utility companies, and other stakeholders, to build an information ecosystem from EV battery data that has never before been possible.


ELECTRIC VEHICLES ON THE RISE The combination of forward-looking government policies, technological advances, and the automotive industry’s commitment to sustainability, are powerful forces to accelerate mass market EV adoption. Yet EVs are still not affordable for many, while for others their perceived value is still unclear. Government economic policies can support


the EV agenda to a point, but disruptive innovation in electrification technology across transportation and the energy grid means business services must lead the way in breaking down the remaining barriers to EV adoption. A significant factor to improve affordability is


to use smarter, more efficient battery packs and powertrains. These must be safe, secure and robust to deliver high performance for the user guaranteed across the vehicle’s lifetime. Advanced technology is required to grow the best battery cells, enable battery packs for robotic assembly, support zero cobalt chemistries such as LFP, and enable a


circular battery lifecycle for recycling or reuse into energy storage systems.


SEMICONDUCTORS AND SOFTWARE ADI’s leading portfolio of electrification solutions, ADI Recharge, is empowering the automotive value chain, including car/fleet owners, OEMs, and Tier 1s, with disruptive capabilities. ADI Recharge includes leading solutions for battery technology, on-board chargers, power management, and isolation technology. Together, these are transforming the EV battery and powertrain into a technologically advanced part of a vehicle’s overall capability. Central to this is ADI’s battery management


system (BMS) – a complete system-level solution, including not only hardware but also software drivers and tools, that supports over-the-air software updates and achieves the highest automotive cybersecurity qualification (ISO 21434 CAL-4). Both wired and wireless operations are fully supported with ADI networking protocol. This solution not only enables OEMs to scale EV designs to their fleets, but it also brings secure intelligence at the edge to the battery cells. It transforms the battery pack into a software-defined platform, and the vehicle into a secure, connected, edge node.


BATTERY INSIGHTS ADI is helping to forge a new ecosystem where the value chain can leverage real-time battery data insights and deploy innovative solutions, which will drive better outcomes for EV vehicle/fleet owners by improving the lifetime value of the battery, and the EV’s operational performance. Building on our proven, industry-leading, high accuracy


cell monitoring sensing capabilities, ADI’s solution delivers real-time battery data insights, utilising secure intelligence at the edge, embedded software, and wireless communication links, which are critical to the development of new systems and services for the entire battery life cycle. The capabilities present opportunities for the


vehicle/fleet owners to be benefitted by a value- based pricing structure, and for the manufacturers and suppliers to secure better variable costs with reduced overheads, while achieving faster time- to-market and production line efficiencies. These innovations are also helping create opportunities for a more reliable convergence of electric mobility with the clean energy grid.


Figure 1. A typical multicomponent wired BMS network (left) and the simpler arrangement made possible by wBMS technology (right)


10 ENERGY & SUSTAINABILITY SOLUTIONS - Winter 2023


SO, WHAT DOES THE ADI BATTERY INSIGHT PLATFORM LOOK LIKE END TO END? • Starting at the source of data – Intelligent sensors right at the battery cells gather data wirelessly into a central management platform, which presents the processed insights to the BMS engine control unit (ECU). ADI provides a production-grade software block from where the insights can be accessed, and the platform can be reconfigured via simple APIs. • A closer look at the edge of the insights platform – The first and most critical integrated circuit (IC) connected to the cells is ADI’s seventh-generation cell monitoring sensor. Building on ADI’s leading measurement capability, this sensor adds new features that enable ground-breaking data insights. It can accurately analyse the battery charging state and health using the best accuracy in the industry guaranteed over lifetime. This sensor consumes x20 less power than its predecessor, and some of that saved energy can be used to process valuable insights at the edge. Finally, just one IC can sense up to 100 V stack or 24 series cells making it a highly integrated and power-efficient battery sensor. • Secure radio frequency microcontroller unit (RF MCU) – The IC’s embedded software controls the sensor operation and processes the data to feed ADI’s insights algorithms. These algorithms generate insights that can be used for applications such as fast charging and increased range, by estimating the state of charge (SoC) more accurately. The RF MCU’s ultra robust radio and embedded network software transfer the insights to the BMS ECU. Each RF MCU includes a comprehensive security subsystem compliant with ISO 21434 CAL-4. A key feature is the unique secure identity of each IC, which can be leveraged to build an insights history for each battery. • Central processing (BMS ECU) – ADI algorithms fuse the processed data from multiple


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