Abstract

International audience; Embedded systems have developed from single microcontrollers to networked sys-tems and are moving further on to large open systems. As an example, automotive electronics started as a single microcontroller for engine control to develop into a local network of 50 and more electronic control units connected via several network standards and gateways which are found in current cars. These networks will be ex-tended by open wireless car-to-car or car-to-infrastructure communication enabling completely new functionality, such as advanced driver assistance systems that report approaching cars that could cause an accident. Other examples are found in health-care, where patients are monitored at home connected to a hospital data base and monitoring system rather than staying in the hospital for that purpose, or in smart buildings where different control functions are integrated to minimize energy con-sumption and adapt consumption to the available energy, or in energy supply net-works that are optimized to include renewable energy production. In all these cases we observe a transition from local closed networks with a single systems integrator controlling all design aspects (such as an automotive manufacturer) to larger open networks with many independent functions and different integrators following differ-ent design objectives. The Internet plays an important role supporting that trend. Unlike closed networks with a defined topology, such systems change over the life-time of a system. Document type: Part of book or chapter of book

Abstract

Electric vehicle battery performance near end-of-life is limited by mismatched cell degradation, leading to an estimated 5-10% cell capacity variation across the pack. Active cell balancing hardware architectures incorporating a Low-Voltage (LV) bus supply have been introduced to unlock lost capacity due to cell imbalance at reduced cost, through elimination of the vehicle's 400-to-12V dc-dc converter. In this work, a hierarchical model-predictive control scheme is applied to a time-shared isolated converter active balancing architecture that incorporates LV bus supply. The proposed controller efficiently divides computation among the battery management system hardware components. The energy-buffering capability of the lead-acid battery, which is connected to the LV bus, is used to trade-off balancing and bus regulation objectives, reducing peak power and improving the system cost-effectiveness. Simultaneous state-of-charge balancing and LV bus regulation is verified in simulation and experiment using real-world drive and LV load data collected from a GM Bolt electric vehicle. Similar controller performance compared to a central scheme is achieved in simulation. The experimental setup includes a custom 12S2P, 3.9kWh, liquid-cooled Lithium Nickel Manganese Cobalt battery module with embedded battery management system. The controller performance is evaluated with an initial maximum state-of-charge imbalance of 6.8%.