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The increasing demand for new energy sources has promoted the improvement of the energy storage capacity of lithium‐ion batteries (LIBs) that urged the development of higher energy density cathode materials. The enhancement of the classical cathode in the last 30 years has reached a bottleneck, and then the discovery of the lithium‐excess disordered materials has greatly expanded the research space of the cathode materials. Compared with the conventional layered oxides, the lithium‐excess disordered rock‐salt oxides (LEDRXs) with a more stable structure has higher extractable Li+ content, even though the inactive high‐valent transition metals (TMs) were needed to compensate for the excess Li, which would reduce the total TM redox content. In addition, oxygen redox provides additional electron capacity for the materials, which also causes O loss and results in the subsequent poor cycle performance. Herein, a series of studies about LEDRXs and their targeted modification measures are summarized, including the prospect of the materials, in order to provide ideas for the design of high‐performance LEDRXs. Finally, the new discoveries and outlook on future research directions of LEDRX cathode materials for LIBs with higher energy density are given.

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This paper focuses on optimal power control in wireless sensor networks powered by RF energy, under the simultaneous wireless information and power transfer (SWIFT) protocol, where the information and power can be transmitted at the same time. We aim to maximize the utility for each sensor through the optimal power control, considering the influences of both the SINR and the harvested energy. The utility maximization problem is formulated as a cooperative dynamic game of a given time duration. All the sensors cooperate together to control their transmission power to maximize the utility and agree to act cooperatively so that a team optimum can be achieved. As a result, a feedback Nash equilibrium solution for each sensor is given based on the dynamic programming theory. Simulation results verify the effectiveness of the proposed approach, by comparing the grand coalition solutions with the non-cooperative solutions.

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