Renesas Electronics had four patents in batteries during Q1 2024. Renesas Electronics Corp has developed a battery simulator that optimizes an RC parallel circuit based on the monitoring frequency of the battery. The circuit simulator mimics the battery’s operation, while the optimization device adjusts the circuit components accordingly for low or high monitoring frequencies. GlobalData’s report on Renesas Electronics gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Renesas Electronics grant share with batteries as a theme is 75% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Battery simulator (Patent ID: US20240094299A1)
The patent filed by Renesas Electronics Corp describes a battery simulator that includes a circuit simulator and an RC parallel circuit optimization device. The optimization device adjusts the RC parallel circuit based on the monitoring frequency of the battery, deleting capacitance values for low frequencies and both resistance and capacitance values for high frequencies. The optimization device uses the ratio of resistance and capacitance (1/RC) to determine the frequency range and make appropriate adjustments to the circuit.
Furthermore, the battery simulator can include multiple RC parallel circuits, with the optimization device calculating 1/RC values for each circuit and determining the frequency range based on a threshold value. For frequencies above or below certain thresholds, the optimization device deletes specific components from the circuits to optimize performance. Additionally, when the ratio of 1/RC approximates 1, the multiple RC circuits are combined into one, simplifying the circuit to include a single resistor and capacitor with summed values from the individual circuits. This patent aims to provide an efficient and adaptable battery simulator that can accurately simulate battery behavior under different monitoring frequencies.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
