Abstract. For dual Kalman filter SOC estimation algorithm, this paper designs experiment based on lithium battery Thevenin model according to different conditions. Verification experiment is divided into three stages, namely to verify the constant current charge or discharge, continuous change, mutation of short-term conditions, and do a detailed analysis. Results show that the algorithm can estimate battery SOC with high accuracy online, can solve the problem of accumulated error and allowed initial SOC effectively. The model can react the true state of the inside battery better by calibrating Thevenin model using dual Kalman filter algorithm. Finally, the experiments verified the DEKF algorithm's convergence speed and good robustness.

Depression is highly prevalent in patients suffering from chronic inflammatory diseases. Dysregulated neuroinflammation and concomitant activated microglia play a pivotal role in the pathogenesis of depression. As an important functional...

This paper presents an active equalization method for lithium battery via SOC. The high accuracy of SOC is promised by extended Kalman filter algorithm (EKF) based on the adaptive parameters equivalent-circuit model at all SOC region. Then a small size, low loss resonant soft-switching active equalization circuit is presented. That circuit combined with SOC do precisely balance the battery pack during charge and discharge processes, which can effectively improve the battery pack’s using life.

This paper presents a high speed Radix-8 Log-MAP turbo decoder recursion architecture: algorithmic approximation and architectural optimization are incorporated in the proposed designs to reduce the critical path. The synthesis results show that the proposed design has a high throughput of 693 Mbps in 0.18 um CMOS technology, which is nearly 3 times higher than using conventional Radix-2 architecture. The hardware complexity is only linearly increased with the new design. The simulation with AWGN channel shows that the proposed design has generally less than 0.05 dB performance degradation from the true Log-MAP decoder.