This paper presents a multiport converter (MPC) designed for electric vehicle (EV) applications, with
potential use in renewable energy systems (RES). The proposed MPC interfaces the AC grid, enabling
seamless energy transfer from input sources to multiple output ports. These output ports facilitate the
simultaneous management of two distinct voltage levels through a single DC link, enhancing system
flexibility and efficiency. The Control scheme, employing Proportional-Resonant (PR) and Propor-
tional-Integral (PI) controllers, is implemented to regulate power flow between input sources and
loads. The system operates in three modes: Mode 1 employs power factor correction (PFC) to
synchronize voltage and current while reducing harmonics, the Total Harmonic Distortion (THD) of
the grid current is 3.65%; Mode 2 allows grid-to-battery charging while supplying a low-voltage load;
and Mode 3 functions as a single-input dual-output converter to power both the motor and auxiliary
loads. Additionally, Artificial Gorilla Troops Optimizer (AGTO) is used to rapidly and precisely tune
controller parameters. The proposed MPC features a modular structure and achieves a high efficiency
of 98.64%, surpassing the reported efficiencies in previous studies, while consisting of 12 components
only, making it a promising solution for sustainable energy management in EVs and RES applications.

This study presents a small-scale hip exoskeleton incorporating bi-directional artificial muscles constructed with springs of Shape Memory Alloy (SMA). The prototype can effectively support hip motion in both extension and flexion, spanning an angular range of −20∘ to 200∘. Experiments for thermo-mechanical characterization were executed to assess the performance of the SMA muscles throughout the entire motion range. The outcomes not only confirmed the suitability of the SMA muscles for the designed exoskeleton but also provided valuable insights into their behavior and capabilities. System identification experiments were carried out to establish an accurate transfer function, guiding the tuning of Proportional-Integral-Derivative (PID) controllers for enhanced motion-control effectiveness. The safety of the SMA system was addressed with a focus on preventing overheating. Challenges in accurately measuring the temperature of a thin spring were overcome by utilizing two thermocouples for each SMA springs group. Additionally, conventional SMA temperature measurement methods, such as infrared and resistance-based techniques, are limited by high cost, nonlinearity, and small range. This study presents a model-based temperature estimation algorithm that integrates a heat transfer model, electrical input data, and thermocouple data to enable accurate and real-time SMA temperature estimation without additional sensors, offering a cost-effective and reliable alternative. To evaluate the small hip prototype and its controller capabilities, control experiments were executed for both stepping and sinusoidal trajectories. The exoskeleton successfully tracked the desired trajectories, showing its precision. Moreover, system performance under adaptive control was further investigated, revealing an RMSE of 0.94∘ 94⁰ in sinusoidal trajectory experiments, indicating reliable disturbance rejection in the angle measurements.