The control methods for sound quality can be divided into PNC and ANC (active noise control), and the energy of vehicle interior noise is mainly concentrated in the middle and low-frequency range. The PNC method is mainly introduced in the last chapter. The traditional PNC method based on sound absorption and isolation is ineffective because of the long acoustic wave of low-frequency noise, while the ANC method shows great potential, and the control algorithms play an important role in studying this method. In this chapter, various ANC algorithms and simulation analyses are introduced to present the effectiveness of the ANC method on vehicle interior SQ. First, based on sine function, an improved FxLMS algorithm with variable step size (VS-FxLMS) is proposed, which avoids the inherent defect that traditional FxLMS algorithm cannot simultaneously improve convergence speed and reduce steady-state error. The improved VS-FxLMS algorithm is realized by modifying the traditional FxLMS algorithm and the original VS-FxLMS algorithm. In the research of the ANC method, the application of ANC algorithm and strategy is the key to affecting the control effect of vehicle SQ. The time-domain FxLMS (TD-FxLMS) algorithm is effective in suppressing low-frequency noise, the frequency domain block FxLMS (FB-FxLMS) algorithm is effective in suppressing middle and high-frequency noise, and the time and frequency domain FxLMS algorithm can effectively deal with unsteady noise. This chapter proposes a new normalized FB-FxLMS (NFB-FxLMS) algorithm based on the Fast Fourier Transform (FFT) and overlapping retention method, and the algorithm’s effectiveness is verified by simulation analysis. In addition, the DWT-FxLMS (discrete-wavelet-transform-based FxLMS) algorithm based on piezoelectric effect and ANC algorithm combining piezoelectric equations and the improved fuzzy control algorithm are introduced, and the simulations are carried out.