Browse Topic: Voltage regulators
Ford is seeding bits of information about its electric mid-size pickup that is slated to land in 2027. The vehicle is the brainchild of the company's skunkworks division and is set to become the standard by which other new electric vehicles from the blue oval are constructed. The underlying UEV (Universal Electric Vehicle) platform is meant to reduce the cost of EVs so they are comparable with gas vehicles. During a presentation focused on efficiency and how Ford plans to eke every mile it can out of the upcoming vehicle, the automaker shared that the vehicle would have a 48-volt architecture instead of the traditional 12-volt system via a DC-to-DC converter. The converter will step down the power from the 400-volt battery system to 48 volts to power ancillary items in the vehicle.
This paper presents the design, implementation, and evaluation of a high-efficiency Phase-Shifted Full-Bridge (PSFB) DC-DC converter utilizing Silicon Carbide (SiC) MOSFETs for low-voltage (LV) battery charging in electric vehicle (EV) applications. The converter operates with Peak Current Mode Control (PCMC), enhanced by a digitally implemented slope compensation technique to ensure control loop stability, counter subharmonic oscillations and accurate current regulation across a wide load range. The use of SiC devices enables high switching frequencies operation with reduced conduction losses, contributing to improved efficiency and power density of converter. The hardware design utilizes a planar transformer with shim inductance to enable Zero Voltage Switching (ZVS) of the primary switches, thereby reducing switching losses and mitigating transformer flux imbalance. The secondary stage employs diode rectification, while the overall PCB layout is optimized to minimize parasitics and ensure reliable high-frequency operation. A 2.2 kW prototype was developed and tested, converting 320 V to 14 V with experimental validation performed using NXP S32E278 domain controller. The proposed control scheme demonstrates fast dynamic response, stable operation under varying load conditions. Additionally, the converter’s performance under both steady-state and dynamic conditions was simulated and validated using PSIM environments. This novel work highlights the advantages of implementing digital Peak Current Mode Control (PCMC) using a domain controller, combined with SiC technology, for next-generation EV charging systems.
Electric vehicles present unique challenges in electromagnetic compatibility testing due to compact packaging, high-frequency switching systems. This paper presents a systematic debugging methodology for identifying radiated emission and radiated immunity issues in these EV platforms. A comprehensive approach is outlined, covering radiated emission measurement; Bulk Current Injection based immunity simulation, and near-field probing techniques. For RI evaluation, BCI testing in the 20 to 400 MHz range is used to simulate radiated threats on the vehicle's power and signal harnesses and handy transmitter near field injections for higher frequency simulation. For RE diagnosis, conducted emission measurements on vehicle harnesses are performed using current probes to capture high-frequency currents. Additionally, near-field electric probes are used at the component to identify dominant noise sources such as DC-DC converters, Motor control unit, and improperly grounded shielding. Case studies on various EV vehicles highlight common failure modes. This practical diagnostic workflow provides an efficient toolkit for EMC engineers to accelerate compliance readiness, reduce test iterations, and enhance vehicle-level EMC performance for electric vehicles.
With the rapid adoption of electric vehicles (EVs), ensuring the reliability, safety, and cost-effectiveness of power electronic subsystems such as onboard chargers, DC-DC converters, and vehicle control units (VCUs) has become a critical engineering focus. These components require thorough validation using precise calibration and communication protocols. This paper presents the development and implementation of an optimized software stack for the Universal Measurement and Calibration Protocol (XCP), aimed at real-time validation of VCUs using next-generation communication methods such as CAN, CAN-FD, and Ethernet. The stack facilitates read/write access to the ECU’s internal memory in runtime, enabling efficient diagnostics, calibration, and parameter tuning without hardware modifications. It is designed to be modular, platform-independent, and compatible with microcontrollers across different EV platforms. By utilizing the ASAM-compliant protocol architecture, the proposed system significantly reduces dependency on expensive proprietary tools, offering a cost-effective alternative for the Indian EV industry.
Thanks to the continued growth of electrified machines in the off-highway segment, DC/DC converters are rapidly becoming a crucial component in the supply chain for numerous OEMs for a wide array of applications. Deutronic recently unveiled a new line of DC/DC converters intended for the mass electrification needs of today's off-highway commercial vehicles. The converter's design is said to be durable and compact with high power density that also offers protection from environmental factors such as vibration, shock, and high temperatures. Deutronic's DVCHx3 converter also provides an interlock function, as well as short-circuit, overtemperature and no-load/self-protection features.
University of California San Diego and CEA-Leti scientists have developed a ground-breaking piezoelectric-based DC-DC converter that unifies all power switches onto a single chip to increase power density. This new power topology, which extends beyond existing topologies, blends the advantages of piezoelectric converters with capacitive-based DC-DC converters.
As the complexity of electrified powertrains and their architectures continue to grow and thrive, it becomes increasingly important and challenging for the supervisory torque controller to optimize the torque commands of the electric machines. The hybrid architecture considered in this paper consists of an internal combustion engine paired with at least one electric motor and a DC-DC switching converter that steps-up the input voltage, in this case the high voltage battery, to a higher output voltage level allowing the electric machines to operate at a greater torque range and increased torque responsiveness for efficient power delivery. This paper describes a strategy for computing and applying the losses of the converter during voltage transformation to determine the optimal engine and electric motor torque commands. The control method uses a quadratic fit of the losses at the power limits of the torque control system and on optimal motor torque commands, within the constraints of the motors and electrical components. This method increases the torque control system’s efficiency, maintains motor torque responsiveness for noise, vibration, and harshness (NVH) mitigation, and optimizes the hybrid supervisory processor’s computation without extra optimization loops. The magnitude of the boost converter losses is typically estimated to be about 10-20% of the overall losses from other electrified components like, electric motors, inverters, low-voltage converters, etc.
The driving capability and charging performance of electric vehicles (EVs) are continuously improving, with high-performance EVs increasing the voltage platform from below 500V to 800V or even 900V. To accommodate existing low-voltage public charging stations, vehicles with high-voltage platforms typically incorporate boost chargers. However, these boost chargers incur additional costs, weight, and spatial requirements. Most mature solutions add a DC-DC boost converter, which results in lower charging power and higher costs. Some new methods leverage the power switching devices and motor inductance within the electric drive motor to form a boost circuit using a three-phase current in-phase control strategy for charging. This approach requires an external inductor to reduce charging current ripple. Another method avoids the use of an external inductor by employing a two-parallel-one-series topology to minimize current ripple; however, this reduces charging power and increases the risk of torque control during charging. This paper presents an innovative integrated boost charging solution that utilizes a three-phase phase-shift control algorithm. This method eliminates the need for additional external inductors. In addition, intelligent voltage regulation strategies, low-loss motor design, and improved cooling schemes are implemented to address thermal risks associated with motor magnets. Compared to traditional approaches, this method offers advantages in terms of minimal cost increase, reduced space occupation, maximum boost charging power, and safest zero torque output.
Solar powered UAV mainly relies on solar energy for range, it uses photovoltaic cells to convert solar radiant energy into electric energy for the use of solar powered UAV energy system. In response to the issue of solar powered UAV photovoltaic power supply energy utilization efficiency, an intelligent sliding mode based MPPT control method is proposed to maximize the output power of photovoltaic power supply. Firstly, introduce and analyze the photovoltaic cell model and its output characteristics; Secondly, the DC/DC converter and its MPPT control technology are introduced. Traditional MPPT control methods such as perturbation and observation and incremental conductance have poor adaptability to external environmental changes, the intelligent algorithm has the characteristics of fast rate of convergence and global search, etc. Therefore, on the basis of sliding mode control, this article introduces genetic algorithm for multi-objective function parameter tuning of sliding mode control law, forming an intelligent sliding mode MPPT control method based on genetic algorithm, which has good adaptability; Finally, three control strategies for photovoltaic power supply MPPT control of solar powered UAV are simulated and analyzed in the MATLAB environment, the simulation results show that all three control strategies can achieve good tracking performance when external environmental conditions change, Among them, intelligent sliding mode control has obvious anti-interference ability, achieving the fastest steady-state response speed, the smallest steady-state oscillation amplitude, and the shortest steady-state oscillation time. Overall, its tracking effect is the best, and it can effectively achieve MPPT control of solar powered UAV photovoltaic power supply.
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